Notebooks and Python about data science

My machine-learning projects (notebooks)

A set of Jupyther notebooks for processing Market Indicators from the Web for predicting market movements. Julia, Python, TuriCreate DNN

Notebooks for Global AI Hub ML course in Aug 2022

If you liked my analysis, pls upvote my notebook!

This notebook involves sentiment analysis on US airline tweets dataset.

Jupyter notebook that outlines the process of creating a machine learning predictive model. Predicts the peak "Wins Shared" by the current draft prospects based on numerous features such as college stats, projected draft pick, physical profile and age. I try out multiple models and pick the best performing one for the data from my judgement.

A series of notebook submissions I've done for the Kaggle Playground Series Competition.

A topic-wise collection of mini projects implementing basic machine learning concepts through python. Originally implemented in Google colab notebooks.

A ML repository that contains several practice notebooks of different Machine Learning Algorithm such as Multiple Linear Regression, KNN Classification, SVM, etc.

This open source project is a notebook series for data collection, data pre-processing, exploratory data analysis, and machine learning processes on the haptic touch dataset collected from GetEmotion application.

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

Your all-in-one Machine Learning resource – from scratch implementations to ensemble learning and real-world model tuning. This repository is a complete collection of 25+ essential ML algorithms written in clean, beginner-friendly Jupyter Notebooks. Each algorithm is explained with intuitive theory, visualizations, and hands-on implementation.