Stock Price Prediction Python ML

@sajjadtaghvaeifr

Hello, I trust you're doing well. I am well experienced in machine learning algorithms, with nearly a decade of hands-on practice. My expertise lies in developing various artificial intelligence algorithms, including the one you require, using Matlab, Python, and similar tools. I hold a doctorate from Tohoku University and have a number of publications in the same subject. My portfolio, which showcases my past work, is available for your review. Your project piqued my interest, and I would be delighted to be part of it. Let's connect to discuss in detail. Warm regards. please check my portfolio link: https://www.freelancer.com/u/sajjadtaghvaeifr

@Milvetti

Hi, we can help you with your Python E2E stock data pipeline + deep-learning signal model for NSE/BSE/CMIE/Yahoo. We offer lifetime bug fix guarantee. As Milvetti, we help traders automate their strategies. Price is an estimate and may vary by scope.

@HanyasSalem

Hi there, I am confident that my skills in utilizing Python and R language programming for data analysis biostatistics can greatly benefit your stock price prediction project. Beyond just basic descriptive statistical analysis, I have extensive experience in inferential statistics which could be crucial for any financial time series predictions. My approach is not limited to just crunching numbers but rather providing clear and meaningful interpretations of the results – an essential trait when it comes to complex financial modeling. While my background may not include specific experience with Indian stock exchanges, my proficiency in handling diverse datasets makes me adaptable to any challenge. This project aligns with my passion for research and exploring new insights from data. I guarantee you rigorous testing, making use of appropriate validation metrics like MSE/RMSE, and a detailed report of the findings to aid in any actionable decision-making processes.

@esraatarekyosef1

‎Hi, I am AI engineer with very wide and strong experience in ML building and fintuning including time series, computer vision, NLP in addition to my experience in backend using python and .Net for generative AI , web scraping and AI integration, I implemented many projects in this feild I also can share some demos with you inbox, what made me sure I can do your task and I am looking forward to working with you

@malkesh3m

⭐ Hello there, My availability is immediate. I read your project post on Python Developer for Stock Price Prediction Python ML. We are experienced full-stack Python developers with skill sets in - Python, Django, Flask, FastAPI, Jupyter Notebook, Selenium, Data Visualization, ETL - React, JavaScript, jQuery, TypeScript, NextJS, React Native - NodeJS, ExpressJS - Web App Development, Data Science, Web/API Scrapping - API Development, Authentication, Authorization - SQLAlchemy, PostegresDB, MySQL, SQLite, SQLServer, Datasets - Web hosting, Docker, Azure, AWS, GPC, Digital Ocean, GoDaddy, Web Hosting - Python Libraries: NumPy, pandas, scikit-learn, tensorflow, etc. Please send a message So we can quickly discuss your project and proceed further. I am looking forward to hearing from you. Thanks

@Algokage

Hello, I have 4+ years of experience in Python and machine learning, with a focus on financial time series and deep learning. I've worked with Indian exchanges and can deliver an end-to-end solution for your stock price prediction project. My approach involves building a robust data pipeline using pandas and NumPy, followed by designing and training a deep neural network with TensorFlow or PyTorch. I'll ensure the process is repeatable and well-documented. Please send a message for samples of similar projects. Thanks, Adegoke. M

@dushyant317

I bring 13 years of professional experience delivering high-quality results. I have strong expertise in all the required skills listed for this project. My approach ensures accuracy, clear communication, and timely delivery. I am confident I can exceed your expectations with efficient, reliable work. Looking forward to contributing to your project—ready to begin immediately.

@adohabel

Hello, I specialize in turning financial data into actionable insights. With an Actuarial Science background and hands-on experience in Python, data analysis, and deep learning, I can deliver a fully reproducible pipeline that transforms historical stock prices into forward-looking signals. What I Will Deliver: -Python scripts/notebooks that pull, clean, merge, and store data from Prowess CMIE, NSE/BSE, and Yahoo Finance. -A deep neural network built with TensorFlow/PyTorch, trained and validated for robust predictive performance. -Clear documentation and a README detailing setup, API keys, and run commands for seamless local execution. Why Me: Expertise in statistics, machine learning, and deep learning applied to market data. Focused on creating repeatable, maintainable, and transparent workflows that you can refresh anytime. I am confident in delivering a solution that is not just functional but efficient, reliable, and immediately actionable. Let’s make your predictive modeling workflow a reality. Thanks.

@Josephy2025

With a strong foundation in Python, AI, and machine learning, I'm confident that I can create an efficient and scalable workflow for your stock price prediction project. My data science skills include pulling, cleaning, and storing datasets - whether it's from financial feeds or web scraping from Yahoo Finance, I can handle it. Rest assured, your data will be organized in a reproducible format (CSV or lightweight database) to ensure ease of use and future training. Regarding the deep-learning model, I've worked extensively with libraries like TensorFlow and scikit-learn to create intelligent models that have brought actionable insights for businesses. I prioritize model transparency and readability with concise yet descriptive comments- helping you better understand the process involved for any subsequent changes. For evaluating the efficacy of the model, I'll utilize MSE/RMSE or any measurable metric of your choice to produce a clear validation report. My prior experience in working with financial time series data coupled with my fluency in Indian exchanges strengthens my understanding of the domain-specific challenges we may face. This enables me to design effective models that reflect accurate predictions based on market conditions. Let's work together to wrap your project in a comprehensive README explaining the exact setup required API keys as well as compact run commands so that you can seamlessly refresh the dataset and retrain the model whenever you wish!

@ghouse43

Developed a predictive analysis system that forecasts stock price trends using machine learning techniques. The project involved collecting historical stock data, performing data cleaning, feature engineering, and applying models such as Linear Regression, Random Forest, and LSTM for time-series prediction. Evaluated model performance using metrics like RMSE and accuracy to identify the most reliable prediction model. Built visualizations to analyze market trends, price movements, and model outputs. This project demonstrates skills in data preprocessing, ML model development, time-series forecasting, Python programming, and financial data analysis

@hanikun

​"I am perfectly suited to deliver this complete, end-to-end data pipeline and deep learning model for forward-looking signal generation, with a strong focus on reproducibility and local execution. ​My experience includes building reliable Python automation scripts for data ingestion and specialized Deep Learning models. I am highly proficient with the required stack (Pandas, NumPy, and TensorFlow/PyTorch) and have prior experience working with data from Indian exchanges (NSE/BSE). ​Proposed Workflow & Deliverables: ​Data Engineering: Develop automated scripts to pull, clean, and merge data from Yahoo Finance, and integrate with Prowess CMIE/NSE feeds (API access required from client). Data will be stored in a lightweight SQLite database for rapid refresh. ​Model Architecture: Design and train a Deep Neural Network (DNN) (e.g., LSTM or 1D CNN) optimized for financial time series forecasting, producing clear buy/sell signals. ​Deliverable: A single Jupyter Notebook/script that allows for one-command data refresh and model retraining, complete with a validation report (RMSE/MAE). ​I propose a fixed price of ₹38,000 INR (approx. $460 USD) with a 9-day delivery timeline. I look forward to confirming API access details to begin immediately."

@sail75

I am having hands on experince in aiml domain for 3.5 years .I am expertised in developing regression models .i can give you the best accuracy results with minimal errors .

@victorc309

I’m an experienced ML engineer with strong hands-on expertise in building end-to-end Python workflows for financial time-series, including data ingestion, cleaning, feature engineering, and deep-learning model development. I can design a reproducible pipeline that integrates Prowess CMIE, NSE/BSE feeds, and fallback sources such as Yahoo Finance, and store the merged data in clean, versioned formats. Using TensorFlow or PyTorch, I will deliver a tuned predictive model with clear documentation, validation metrics, and fully commented code. I also have prior experience working with Indian market data and can confidently develop a reliable, production-ready forecasting workflow for your needs.

@parthd84

Hi, I am very interested in your project and confident I can deliver a full Python-based workflow for stock price prediction. I have hands-on experience working with Indian stock exchanges (NSE/BSE) and handling financial datasets from multiple sources, including Prowess CMIE and Yahoo Finance. I can create a robust, end-to-end pipeline that: Gathers, cleans, merges, and stores historical stock prices in reproducible formats (CSV or lightweight databases). Trains a deep learning model (using TensorFlow or PyTorch) for forward-looking signal generation, with well-tuned hyperparameters and clear validation metrics (MSE/RMSE). Provides well-commented Python scripts or notebooks and a concise README detailing setup, API keys, and run commands. I focus on building repeatable and reliable workflows that you can run locally to refresh data and retrain models efficiently. I can also provide a small demo to showcase the workflow if required. Looking forward to helping you develop a robust predictive system for Indian markets.

@backbonecoder

Hi, I’m a Machine Learning Engineer with 4.5 years of experience building end-to-end Python pipelines for time-series and financial modeling, including work with Indian equity data (NSE/BSE). I can deliver a fully reproducible workflow that ingests historical stock prices from Prowess CMIE and NSE/BSE feeds, and fills gaps using Yahoo Finance where needed. The pipeline will handle cleaning, normalization, calendar alignment, and merging, with outputs stored in versioned CSVs or a lightweight SQLite database so it can be refreshed locally with a single command. On the modeling side, I’ll use pandas, NumPy, scikit-learn, and TensorFlow or PyTorch to design and train a deep learning model suitable for financial time series (e.g., LSTM/GRU). The model will follow proper time-based train/validation splits, tuned hyperparameters, and clear evaluation using MSE/RMSE or similar metrics. Deliverables include: • Python scripts or notebooks for data collection and cleaning • Well-documented model training code with validation results • A concise README covering setup, required API keys, and exact run commands I prioritize clean code, reproducibility, and clarity, and I can start immediately. Happy to discuss prediction horizon, signal definition, and scope in more detail. Best regards, Yash