Pandas numpycông việc

...subreddits for this project are: - r/Stoic - r/Stoicism I'm only looking to scrape data from posts within a specific date range, which will be shared with the selected freelancer. **Ideal Skills and Experience:** - Proficiency in Python, specifically with libraries like BeautifulSoup, Scrapy, or PRAW for Reddit data scraping. - Experience with data manipulation and storage, potentially using pandas and SQL. - Ability to work with APIs, if necessary. - Familiarity with Reddit's structure and rules relating to data scraping. - Strong communication skills and attention to detail, especially in understanding and applying the date range criteria seamlessly. The ultimate goal is to gather this targeted dataset in a structured format (e.g., CSV, JSON) for further academic...

...exclusively target stock markets, capable of analyzing market data to make rapid and informed trading decisions. - **Trading Frequency**: The software is expected to perform at high frequency, conducting multiple trades per second. This requires the bot to process large volumes of data with minimal latency. **Skills and Experience:** - Proficiency in Python, specifically with libraries such as pandas, NumPy, and other financial analysis tools. - Experience with real-time data processing and the ability to implement algorithms that can efficiently make decisions in a high-frequency trading environment. - Knowledge of the stock market, understanding of trading signals, and familiarity with trading platforms and APIs. - Ability to implement robust error-handling and risk ma...

I'm in need of a skilled Python developer with a strong background in data analysis to assist in the creation of static reports. This will involve analyzing datasets to extract meaningful insights and representing these findings in a visually engaging, comprehensive report. **Core Requirements:** - Proficient in Python programming, specifically with data analysis libraries such as Pandas and NumPy. - Experienced in creating static data visualizations using libraries/tools like Matplotlib, Seaborn, or similar. - Ability to interpret data and translate it into compelling visual stories. - Familiarity with data preprocessing and cleaning to ensure accurate analysis. **Ideal Skills and Experience:** - Proven track record in data visualization projects, with portfolio examp...

... with a portfolio demonstrating projects in text data cleaning and sentiment analysis. - Experience working with customer reviews for sentiment analysis, preferably with a track record of actionable insights generated from such analyses. - Proficiency in programming languages commonly used for data cleaning and analysis, such as Python or R, and familiarity with relevant libraries (e.g., NLTK, pandas). - Excellent communication skills, necessary for discussing project goals, timelines, and results. The ultimate aim of this project is to transform raw customer review data into clean, analyzable text. This cleanly processed data will then serve as the foundation for accurate sentiment analysis, enabling me to capture the voice of the customer more clearly and make informed decisio...

I'm in need of a knowledgeable Python developer to assist me in the completion of a paper trading project. Currently,...Market Data Analysis: The ability of the script to evaluate and analyze market data for making informed trading decisions is required. We will be focusing on leveraging angle broking for order execution, hence experience with the same will be beneficial. The project will heavily rely on the use of several libraries and frameworks for portfolio management and market data analysis - specifically Pandas, NumPy, and SciPy. Therefore, proficiency with these is necessary. Having experience in financial trading, understanding of financial markets and terminologies would be ideal. Python development skills with past experience in building similar projects wi...

...numerical information. The dataset contains fewer than 10 variables, but it's crucial that each one is handled with precision. The primary objective is to remove any and all duplicates to ensure the integrity and uniqueness of the data. Ideal Skills and Experience: - Proficiency in data cleaning techniques and tools - Experience with databases and data analysis software (e.g., SQL, Excel, Python Pandas) - Keen attention to detail to identify and remove duplicates - Understanding of data structure and optimization for numerical data - Ability to work efficiently without compromising data accuracy The project will require a brief discussion to understand the specific characteristics of the dataset and any further requirements you might have. Please reach out if you possess t...

...over work on an a Python Flask container - mainly responsible for ETL and data analysis. You: - A strong developer with experience in data pipeline and data analysis work. - Expert in libraries like Pandas, NumPy, and other python data manipulation libs. - A familiarity with networking protocols such as Websockets, HTTP, and FTP. - Familiarity with Data Warehouses like BigQuery - Familiarity with Looker - Ability to support US West Coast hours Do you do your own coding, or do you coordinate development through an agency? Can you describe a recent project where you utilized Pandas and NumPy for data analysis or manipulation? What challenges did you face and how did you overcome them? Can you explain a scenario where you had to use Websockets, HTTP, or FTP ...

The task? To extract and clean the PyPortfolioOpt library. You've got to remove classes and distill the features in question to simple, functions – using only Python and numpy. However, cvxpy can remain throughout the process. What to deliver: A colab notebook prooving how you code (as short as possible) results in the same answer as the following code: ef = EfficientFrontier(Means, Cov_Matrix, weight_bounds=(0, 0.1)) weights = ef.max_sharpe() source codes:

...Python. When the user clicks an image of themselves and chooses a jewellery product (Necklace, earrings etc), the output is the user wearing that particular jewellery **Preferred Skills and Experience:** - Proficiency in Python programming. - Extensive experience with OpenCV (CV2) for image manipulation and analysis. - Familiarity with data analysis libraries (though not mandatory, knowing Pandas, NumPy, and SciPy is a plus). - Strong background in algorithms related to image processing and object detection. - Ability to work independently on complex data analysis tasks. **What I'm Looking For:** A developer who can deliver efficient code with clear documentation. The ideal candidate should also be able to provide insights and suggestions for best practices in image...

...records, and road network data. - Capability to segment delivery areas efficiently, which is the primary goal of this clustering project. **Ideal Skills and Experience:** - Expertise in data science and machine learning, particularly in clustering techniques. - In-depth knowledge of Python programming, especially with libraries suited for geographical and clustering tasks (e.g., scikit-learn, pandas, GeoPandas). - Familiarity with handling GPS data, analyzing delivery records, and integrating road network information. - Strong analytical skills to identify the optimal parameters for DBSCAN or other suggested clustering methods suitable for multi-dimensional data. - Experience in logistics, delivery services, or route optimization is a huge plus. This project is not just about a...

I do stock trading using Excel and Python. Strategy is currently in Excel and Python checks the cell values to do the trading. Everything is working fine , but is slow because of very high read write to excel. I want to convert this code so that it runs fast , so read the data from excel once , do all the calculations in python , send buy sell signal to broker directly and on...is currently in Excel and Python checks the cell values to do the trading. Everything is working fine , but is slow because of very high read write to excel. I want to convert this code so that it runs fast , so read the data from excel once , do all the calculations in python , send buy sell signal to broker directly and only write to excel in case of changes in positions etc. Using Python , Pandas , XLWin...

...**Programming Language**: The parser must be written in Python, as I prefer its syntax and libraries for data manipulation. - **No Specific Framework Requirement**: Although the question was framed around JavaScript frameworks, my choice of Python means there's no need for a JS framework. However, familiarity with Python's JSON handling libraries like `json` or third-party libraries such as `Pandas` for managing datasets is crucial. - **Timeline**: This project is marked as ASAP. I expect a first version ready for review in a few days. Your ability to prioritize this work and communicate effectively about progress will be highly valued. **Ideal Skills and Experience**: - Proficient in Python, especially in parsing and manipulating JSON data. - Experience with data ...

...involve the development of models based on provided data sets, implementing algorithms that can predict, optimize, or unravel complex systems. - You will need to collaborate closely with me to understand the project's objectives, refine the models, and iterate based on results. **Expectations:** - High level of proficiency in Python, specifically its scientific computing libraries (e.g., NumPy, SciPy, Pandas). - Ability to communicate complex mathematical ideas in a concise and understandable manner. - Strong analytical and critical thinking skills, with a methodical approach to problem-solving. Successful applicants will demonstrate not only a rich background in mathematical modeling and Python but also an eagerness to tackle challenging problems head-on. If you ar...

I ...of the Pandas library. Your tasks will, essentially, involve the following: - Installation of Pandas - Troubleshooting and thorough testing to ensure the seamless performance of the program on Cpanel. - Performing data manipulation tasks using the Pandas library. Python Programming with Pandas on Cpanel The ideal candidate should have: - Strong experience with Python programming - Expertise in using the latest version of Pandas for data manipulation tasks - Familiarity with Cpanel for setting up and running Python programs - Demonstrated ability to troubleshoot and resolve issues related to Python programs and library installation on Cpanel. This project offers an opportunity to showcase your proficiency in Python, as well as your ability to eff...

I have a solemn project that demands comprehensive data cleaning using the Pandas dataframe. The freelancer awarded this job needs to be proficient in Python, especially with the Pandas library. Their resourcefulness in data manipulation and cleaning techniques will be paramount. Specific Tasks: - Handling missing data: You ought to remove rows with missing data from the dataframe. It's critical to ensure that the dataset is left with complete entries only. - Removing duplicates: Duplicate entries should be identified and eradicated, ensuring that each data entry is unique and valid. - Adjusting data types: Depending on the necessity of specific analytical goals, you will have to adjust the types of data in the dataframe. - Data standardisation: Data in the datafram...

...extraction, any subsequent data manipulation to format or clean the extracted data would be advantageous. - **Problem-Solving Ability:** The ability to troubleshoot and solve issues that may arise due to the diverse nature of file formats and data structures. **Ideal Skills and Experience:** - Strong proficiency in Python, especially with libraries relevant to file handling and data extraction such as Pandas for TXT and CSV files, and other specialized libraries for .RAW and .LOG files. - Experience with extracting data from both structured and unstructured file types. - An analytical mindset with attention to detail, ensuring the accuracy and integrity of extracted data. - Capable of working independently to deliver efficient, effective solutions. This project requires a free...

...from Lidar point cloud data. - Ensure the algorithm can process data in pcap format and output detected trajectories in a CSV format. **Ideal Skills and Experience:** - Strong proficiency in machine learning, specifically in developing algorithms for spatial data analysis. - Extensive experience with Lidar data, especially in pcap format. - Proficiency in Python, including libraries such as NumPy, Pandas, and PCL (Point Cloud Library) or equivalent for point cloud processing. - Familiarity with data serialization formats, particularly CSV for output. - Ability to work with large datasets and optimize algorithms for performance and accuracy. - Experience in vehicle detection and tracking algorithms is a huge plus. **Project Deliverables:** - A fully functioning ML algorit...

...especially in classification tasks using 3D point cloud data. - Expertise in data compression techniques, particularly those suitable for 3D point clouds, with a focus on lossy compression. - Experience with machine learning frameworks such as TensorFlow or PyTorch. - Knowledge of programming in Python, and familiarity with libraries related to 3D data processing such as PCL (Point Cloud Library), NumPy, etc. - Understanding of the trade-offs between data integrity and size reduction. - Ability to optimize algorithms for efficient processing and storage. ### Project Requirements: - Analyze existing 3D point cloud data to identify and classify objects accurately. - Design and implement a lossy compression algorithm that significantly reduces the size of the 3D point cloud data ...

...data from the file, manipulate the information based on specific criteria, and write the modified data back to the file. This process needs to be executed periodically, relying on a reliable and efficient scheduling mechanism. ### Ideal Skills and Experience: - Proficiency in Python programming, with a strong grasp on working with CSV files and manipulating data. - Experience with libraries like pandas for data manipulation and openpyxl or a similar library for reading and writing to Excel files. - Ability to implement scheduling within the Python script, to automate periodic execution. ### Specific Requirements: - **Read Data**: Extract data efficiently from a CSV file. - **Manipulate Data**: Perform specified operations on the data extracted, such as sorting, filtering, and a...

...libraries including openpyxl, pandas, salib, and fittr. Technical Requirements: 1. Distribution Analyzer: - Input: Excel data - Functionality: Analyze statistical distribution of the data. - Output: Store distribution information in a log file. 2. Simulation: - Input: Number of iterations, distribution parameters, and Excel data. - Functionality: Generate a sample set, iterate through the Excel data, and collect output values. - Output: Store results in a new Excel file. 3. Report Generator: - Input: Confidence interval, histogram data. - Functionality: Generate a histogram based on the provided confidence interval. Perform sensitivity analysis and plot the resultant graph. Technical Stack: - Language: Python - Libraries: openpyxl, pandas, salib...

I am looking to commission a personalized Valentine's Day drawing done in cartoon style. This drawing will capture a memorable personal moment interpreted in a lighthearted, yet sentimental way. The main elements that should be included are: - Two pandas cuddling in bed, illustrating a warm, intimate moment. - The surrounding should be filled with meaningful items that represent us. A successful candidate would have: - Proven experience and skill in cartoon-style illustrations. - Ability to create emotive scenes that can depict intimate and cherished moments. - Strength in incorporating special elements such as specific animals and other meaningful components in their work. - Excellent communication skills, checking in frequently with updates and making sure the illustration...

...classification results. **Ideal Skills and Experience:** - Proficiency in data mining techniques and tools. - Strong background in statistical analysis and mathematics. - Experience with machine learning algorithms, especially those relevant to classification tasks. - Expertise in programming languages commonly used for data science, such as Python or R, with a special emphasis on libraries like Pandas, NumPy, Scikit-learn, and TensorFlow. - Familiarity with data visualization tools for presenting findings in a comprehensible manner. - Prior experience with large datasets and the ability to optimize algorithms for performance and accuracy. The successful freelancer will need to demonstrate a keen analytical mind, a meticulous approach to problem-solving, and a solid trac...

Python Data Visualization involving pandas, matplotlib, squarify, circlify etc.

...Python. When the user clicks an image of themselves and chooses a jewellery product (Necklace, earrings etc), the output is the user wearing that particular jewellery **Preferred Skills and Experience:** - Proficiency in Python programming. - Extensive experience with OpenCV (CV2) for image manipulation and analysis. - Familiarity with data analysis libraries (though not mandatory, knowing Pandas, NumPy, and SciPy is a plus). - Strong background in algorithms related to image processing and object detection. - Ability to work independently on complex data analysis tasks. **What I'm Looking For:** A developer who can deliver efficient code with clear documentation. The ideal candidate should also be able to provide insights and suggestions for best practices in image...

...freelancer to undertake a project focused on data analysis using Jupyter notebooks. The primary goal is to analyze scientific research data to uncover insights, patterns, or anomalies. The ideal candidate should possess a strong background in data science, with specific expertise in handling scientific datasets. **Requirements:** - Proficiency in Python, particularly with libraries such as Pandas, NumPy, and Matplotlib for data manipulation and visualization. - Experience in handling large datasets, preferably scientific or research data. - Ability to communicate complex data insights in an understandable manner. - Knowledge of statistics and machine learning algorithms is a plus. **Project Scope:** - The data will be provided via email in a compressed file format. The f...

Python project involving pandas, matplotlib, squarify, circlify etc. In this project, I need to draw graphs and figures exactly as shown in another image

...**Trading Strategy:** It should employ cutting-edge machine learning algorithms to identify trading opportunities. The approach can be fully automated or a hybrid model that also suggests trades for manual execution. Your input on the best course of action is welcome. - **Experience and Skills:** - Proficiency in Python and libraries relevant to data analysis and machine learning (e.g., Pandas, NumPy, scikit-learn, TensorFlow, or Keras). - Previous experience in developing trading scripts or bots, with a strong understanding of the financial markets. - Ability to implement machine learning algorithms that can adapt to market conditions. **What to Include in Your Application:** Although not mandatory, including examples of past work or detailed project proposals cou...

...freelancer to undertake a project focused on data analysis using Jupyter notebooks. The primary goal is to analyze scientific research data to uncover insights, patterns, or anomalies. The ideal candidate should possess a strong background in data science, with specific expertise in handling scientific datasets. **Requirements:** - Proficiency in Python, particularly with libraries such as Pandas, NumPy, and Matplotlib for data manipulation and visualization. - Experience in handling large datasets, preferably scientific or research data. - Ability to communicate complex data insights in an understandable manner. - Knowledge of statistics and machine learning algorithms is a plus. **Project Scope:** - The data will be provided via email in a compressed file format. The f...

...data to optimize geospatial triangulation techniques, providing insights and improving accuracy. - Developing algorithms tailored for predictive modeling based on real-time geospatial data. - Creating dynamic data visualizations to represent the analyzed data in an understandable and actionable manner. **Skillset & Experience:** - Proficient in Python programming, especially libraries like Pandas, NumPy, and Matplotlib for data analysis and visualization. - Experience in geospatial data analysis with tools such as QGIS or ArcGIS. - Knowledgeable in working with real-time data streams and implementing predictive models. - Strong analytical skills with a focus on detail and accuracy. This project is critical for enhancing our real-time location services and requires a ...

...extraction process. - Proficiency in data cleaning and organization, preparing the data in a user-friendly format for analysis. - Keen attention to legal considerations, adhering to website data use policies and privacy laws. **Ideal Skills and Experience:** - Expertise in Python, specifically libraries like Beautiful Soup, Scrapy, or Selenium. - Familiarity with data analysis tools (e.g., R, Python Pandas) to organize and present the scraped data effectively. -Merging data, transforming data files using Excel or Python - Strong understanding of web technologies and how to navigate and extract data from complex website structures. - Experience with automation scripts to streamline the data collection process without manual intervention. This project requires someone who is deta...

I am looking for an experienced machine learning engineer to develop a predictive analytics model focused on the stock market. I'd like to create a platform that feeds live stock data which alerts me on specific pattern recognitions provided by me. Looking for: - Proficiency in machine ...live stock data which alerts me on specific pattern recognitions provided by me. Looking for: - Proficiency in machine learning and predictive analytics. - Experience with financial datasets, specifically historical stock data. - Strong understanding of stock market dynamics. - Ability to work with time-series data. - Skilled in programming languages such as Python, especially libraries like Pandas, NumPy, and scikit-learn. - Previous experience in building models for financial market...

Goal: Create a Python application to scrape data on business sales events and generate a concise, informative report for business development use. Key Components Python Scraper: Develop a Python script that uses libraries such as Beautiful Soup or Scrapy to scrape data from predefined sources that list liquidity events, such as business ne...Design a template for the "Money on the Move" report that highlights essential information about recent liquidity events. The report should be easily digestible, allowing the business development team to quickly identify outreach opportunities. Implement functionality in Python to populate the report template with data from the scraper. Consider using libraries like Jinja for template rendering or Pandas for data manipulation to faci...

...programmer! the keywords i want to include are "cost plus drugs" and "" (for context i am doing an analysis on this company, , and need a clean dataset of tweets mentioning its name) **Requirements:** - Proficiency in Python programming, especially with libraries suited for data scraping and manipulation (such as Tweepy for Twitter API interaction and Pandas for data frame handling). - Experience with using the Twitter Developer API to extract tweet data. - Ability to apply filters based on keywords and locations to the data extraction process. - Competency in saving the collected data into a CSV file format while maintaining data integrity and structure. **Ideal Skills and Experience:** - Strong background in data scraping and web scraping projects

...scripts for automating the extraction of data from specified APIs. - Implement data analysis techniques to process and extract meaningful information from large datasets. - Design and generate graphs and visuals that accurately represent the analyzed data for easier understanding and presentation. **Skills and Experience:** - Proficient in Python programming, especially with libraries like Pandas, NumPy for data analysis, and Flask or Django for web development. - Strong experience in automation scripts and working with various APIs. - A good grasp of data visualization tools and libraries (e.g., Matplotlib, Seaborn) to create compelling graphs. - Familiarity with data entry and processing automation, particularly in extracting information to create graphs. - Ability to i...

...**Trading Strategy:** It should employ cutting-edge machine learning algorithms to identify trading opportunities. The approach can be fully automated or a hybrid model that also suggests trades for manual execution. Your input on the best course of action is welcome. - **Experience and Skills:** - Proficiency in Python and libraries relevant to data analysis and machine learning (e.g., Pandas, NumPy, scikit-learn, TensorFlow, or Keras). - Previous experience in developing trading scripts or bots, with a strong understanding of the financial markets. - Ability to implement machine learning algorithms that can adapt to market conditions. **What to Include in Your Application:** Although not mandatory, including examples of past work or detailed project proposals cou...

...such as generated columns if needed - Data Load (20%) Write a Python script to load data into your database data_load.py. You must include your raw data file (CSV, XML, JSON, etc) in your submission. Alternatively your data loading program can load data directly from the internet. - Python query program (30%) You are to provide a Python program to query the database. You may employ pandas but you should try to select only the data needed from the database. It should permit the user to generate outputs identified in your README file. You may use either interactive prompting and/or command-line arguments. - Version control (10%) Your git repository should have a number of meaningful atomic commits with appropriate messages. You'll need to design effective and efficient ...

I need an expert in Python to transform my data into insightful static charts and graphs. This project entails developing data visualizations from CSV or Excel files. Here's what I'm looking for: - **Expertise Required:** - Proficiency in Python programming - Experience with data visualization libraries (e.g., Matplotlib, Seaborn) - Ability to handle CSV/Excel data manipulation (Pandas) - **Project Goals:** - Develop clear, accurate, static visualizations - Provide source code and visualization outputs - Ensure graphs effectively communicate the data story - **Freelancer Traits:** - Detail-oriented - Good communication skills - Ability to deliver on time To bid, please share samples of your previous work with data visualization in Python, specifically...

I need to improve this script in order to take reviews from amazon import requests from bs4 import BeautifulSoup import pandas as pd # Definisci l'ASIN del prodotto asin = 'B0C6YDFDDY' # Costruisci l'URL del prodotto utilizzando l'ASIN url = f'{asin}' # Imposta gli headers della richiesta headers = { "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/ Safari/537.36", "Accept-Language": "it-IT,it;q=0.9" } # Invia la richiesta HTTP response = (url, headers=headers) # Analizza la pagina HTML con Beautiful Soup soup = BeautifulSoup(, '') # Trova gli elementi della pagina contenenti le recensioni reviews = ("div", {"data-h...

I'm in need of a skilled Python developer, with particular expertise in numpy and cvxpy libraries. The task? To extract and clean up the data preprocessing functions from the PyPortfolioOpt library. You've got complete freedom to remove classes and distill the features in question to simple, functions – using only Python and numpy. However, cvxpy can remain throughout the process. A few important notes: • Maintain the original functionality of the refactored code. • Comments are not necessary during the cleanup process. Your deep comprehension of numpy, Python, and cvxpy would be most advantageous in completing this project. ef = EfficientFrontier(Flipped_Means, Cov_Matrix, weight_bounds=(0, 0.1)) weights = ef.max_sharpe...

I'm looking for a skilled data scientist to help me extract meaningful patter...algorithms. - Experience with social media data analytics. Your primary goal will be to analyze the data to uncover hidden insights within social media interactions that can inform business strategy. This will require: - Strong analytical skills to identify key patterns and trends. - Ability to preprocess, clean, and organize social media data for analysis. - Experience with libraries such as Pandas, NumPy, Scikit-learn, and possibly natural language processing libraries if needed. This is a complex investigation requiring keen attention to detail and a deep understanding of how social behaviors translate into data. If your skill set and experience match these requirements, I invite you to...

I'm looking for a skilled data scientist to help me extract meaningful patter...algorithms. - Experience with social media data analytics. Your primary goal will be to analyze the data to uncover hidden insights within social media interactions that can inform business strategy. This will require: - Strong analytical skills to identify key patterns and trends. - Ability to preprocess, clean, and organize social media data for analysis. - Experience with libraries such as Pandas, NumPy, Scikit-learn, and possibly natural language processing libraries if needed. This is a complex investigation requiring keen attention to detail and a deep understanding of how social behaviors translate into data. If your skill set and experience match these requirements, I invite you to...

I'm looking for an expert data analyst to thoroughly explain a Pandas Profiling report. The report's various complexities and insights need to be demystified in a way that makes sense to me, a novice in the data science field. Here's what I'm specifically looking for: - General Overview: A simple explanation of the report's structure and purpose. - Data Statistics: A breakdown of the key statistics presented, and why they're important. - Variable Correlations: An interpretation of correlation metrics and their implications on my data set. Requirements: - Proficiency in data analysis and statistical interpretation. - Ability to articulate complex data concepts in simple terms. - Experience with Pandas Profiling or similar data analysis tools. - ...

I urgently require a skilled Python developer to perform data analysis tasks. Here are the specifics: - **Core Task**: Perform data analysis using Python. - **Immediate Start**: Need to begin as soon as possible. **Skills and Experience**: - Proficient in Python, especially libraries for data analysis like Pandas and NumPy. - Experience with data visualization (e.g., using Matplotlib or Seaborn). - Ability to work with and analyze large datasets efficiently. - Excellent problem-solving skills and attention to detail. **Project Requirements**: - Quick turnaround while maintaining high-quality analysis. - Provide insights with visual data representations. - Maintain data confidentiality and integrity. **Note**: Though the data type wasn't specified, versatility in hand...

...which the weights get loaded into. Example scripts of code I tried are included as well. Please see attached "". The breakdown of the PySpeedTest folder is as follows: - The subfolders "Long" and "Short" each contain the weights of 100 Neural Networks (summing up to 200 together). These are saved as PyTorch Tensors. - The input data to be used is: "". This is saved in numpy, as is easily changed to pytorch format in the code. - The python code "" contains the neural network structure, written in PyTorch. This is the same structure for each of the 200 NNs. - The other three python scripts are: 1) "", 2) "", and 3) "". These are example scripts where I tried a few techniques

Objective: Develop a Python script that retrieves publicly available information from specified Instagram accounts and stores the data in a structured pandas table, while also creating public URLs to access the creative. Input: Instagram account username (no login credentials required). Output: A pandas dataframe with the following columns populated with data from each Instagram post in the account: - Account Username - Account Followers Count - Audio Track (if applicable) - Post URL - Date of Post - Links to Media in Post (Images/Videos) – you should have a system that downloads each creative in a post and uploads it to a public link I can access and download from. - Post Type (Static, Carousel, Video, Other) - Post Caption - Tagged Accounts - Number of Likes - Numbe...

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I'm looking for a talented freelan...solution that automates the daily conversion of PDF documents with selectable text to Excel format to streamline my data entry process. **Requirements:** - Develop an automated PDF to Excel conversion process - Ensure data integrity during conversion - Provide a user-friendly interface - Support daily conversion needs **Ideal Skills:** - Proficiency in Python and relevant libraries (e.g., Pandas, PyPDF2) - Experience in automation and scripting - Knowledge of Excel operations and formatting - Strong attention to detail and accuracy - Ability to deliver a reliable and reusable solution Experience with similar data automation projects is preferred. I need a solution that's both efficient and easy to maintain. Looking forward to your...

I'm looking for a talented freelan...solution that automates the daily conversion of PDF documents with selectable text to Excel format to streamline my data entry process. **Requirements:** - Develop an automated PDF to Excel conversion process - Ensure data integrity during conversion - Provide a user-friendly interface - Support daily conversion needs **Ideal Skills:** - Proficiency in Python and relevant libraries (e.g., Pandas, PyPDF2) - Experience in automation and scripting - Knowledge of Excel operations and formatting - Strong attention to detail and accuracy - Ability to deliver a reliable and reusable solution Experience with similar data automation projects is preferred. I need a solution that's both efficient and easy to maintain. Looking forward to your...

...website. Here's what I need from you: - Develop a sophisticated predictive model tailored to enhance website user experience. - Extract actionable insights that can drive decision-making and strategic planning. - Provide clean, compelling data visualizations that communicate complex analysis with simplicity. Required skills: - Expertise in Python and associated data science libraries (e.g., Pandas, NumPy, Scikit-learn). - Proven experience in building predictive models. - Ability to communicate complex data in a clear and effective manner. - Experience with web analytics is a plus. Ideal candidates will possess a strong portfolio showcasing previous predictive modeling projects, preferably within a web context. If you're passionate about using data to tell a ...

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