This repository contains notes, slides, labs, assignments and projects for the Mathematics for Machine Learning and Data Science by DeepLearning.AI and Coursera.

Implementing linear regression using sckit-learn

Fast-API base StockSeer-API uses different machine learning alogs to forecast closing stock prices.

This toolkit is a curated collection of machine learning projects, resources, and utilities designed to assist both beginners and seasoned practitioners in their journey through the fascinating world of machine learning.

This repository contains a project I completed for an NTU course titled CB4247 Statistics & Computational Inference to Big Data. In this project, I applied regression and machine learning techniques to predict house prices in India.

Linear Regression

My journey to learn and grow in the domain of Machine Learning and Artificial Intelligence by performing the #100DaysofMLCode Challenge. Now supported by bright developers adding their learnings 👍

Github repo for my in-progress book, "Visualizing Multivariate Data and Models in R"

During my internship at The Sparks Foundation, I was tasked with predicting students' percentages based on the number of hours they studied.

Fuel efficiency prediction model using different linear regression types. Based on Mileage Per Gallon (MPG) dataset.

Exploring simple linear regression models to analyze the relationship between advertising expenditure and sales.

🧲 Multi-step adaptive estimation for reducing false positive selection in sparse regressions

Utilizing ML techniques, the project builds a predictive model for housing prices, leveraging diverse features like location, size, amenities, and neighborhood details. Using a rich dataset, it aims to deliver a precise and insightful tool for real estate professionals.

This repo contains various Regression Models

This repository utilizes time series analysis to predict natural gas prices, aiding informed decisions in the energy market. Through meticulous data preprocessing, visualization, and ARIMA modeling, it provides accurate forecasts. With regression and interpolation techniques, it offers deeper insights for stakeholders, enabling proactive strategies

Machine Learning algorithms and models

Forecasting gold prices with machine learning, employing Linear Regression and Naive models. Analyzing historical data to predict future prices, aiding decision-making in financial markets.

This repository contains a project focused on predicting the total gross of theatrical movies. It utilizes Python, SQL, web scraping, linear regression, and Excel techniques. The data for this project has been sourced from Kaggle

These are all of my machine learning codes.You can find every code about machine learning.

Introduction to Python and Neural Network with Keras and PyTorch for beginners