{"repo":"Mandeep2807/NIFTY50-ML-Prediction-EDA","free":true,"listed":false,"github":"https://github.com/Mandeep2807/NIFTY50-ML-Prediction-EDA","clone":"git clone https://github.com/Mandeep2807/NIFTY50-ML-Prediction-EDA.git","description":"EDA and comparative analysis of machine learning models for predicting NIFTY50 stock trends using Python.","language":"Jupyter Notebook","stars":22,"topics":["data-analysis","data-science","data-visualization","dataset","exploratory-data-analysis","linear-regression","machine-learning","matplotlib","nifty50","numpy"],"license":null,"category":"machine-learning","readme_excerpt":"NIFTY50 Prediction using EDA and Machine Learning Overview This project focuses on analyzing historical NIFTY50 stock market data using Exploratory Data Analysis (EDA) and building machine learning models to predict market trends. It includes a comparative study of multiple models to evaluate their effectiveness in financial prediction. Problem Statement Stock market prediction is inherently complex due to volatility, noise, and multiple influencing factors. The objective of this project is to extract meaningful insights from NIFTY50 data and compare machine learning models to improve predictive understanding. Objectives Perform data cleaning and preprocessing Conduct exploratory data analysis to identify trends and patterns Engineer relevant features for modeling Build and compare multiple machine learning models Evaluate model performance using standard metrics Dataset The dataset consists of historical NIFTY50 stock data containing features such as opening price, closing price, high, low, and trading volume. Location: data/final dataset.xlsx Project Structure Methodology 1. Data Preprocessing Handling missing values Converting date columns Sorting and structuring time-series data 2. Exploratory Data Analysis Trend analysis of NIFTY50 over time Monthly and yearly average comparisons Distribution of closing prices Correlation analysis between features 3. Feature Engineering Extraction of year and month Daily price change calculation Derived statistical features 4. Model Buil","default_branch":null,"files":null,"tree":[],"storefront":"/r/Mandeep2807","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/Mandeep2807/NIFTY50-ML-Prediction-EDA/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}