Introductory Machine Learning Online Course (MOOC) from Caltech

This repo contains all the projects and python notebooks that I am doing to dive deeper in ML.(From Data Preprocessing to more complex models)

The solution of the Kaggle Competition for predicting the survivors in the Titanic Tragedy

Stress classifier with AutoML

My Jupyter Lab notebooks from the Udemy Course "Machine Learning from A-Z: Hands-On Python & R in Data Science"

Python 3 Jupyter notebooks recommendation system

Directory of python ML notebooks written with Tensorflow 2.0 and Keras

Airbnb is an online marketplace for arranging or offering lodging, primarily homestays, or tourism experiences since 2008. NYC is the most populous city in the United States and also one of the most popular tourism and business place in the world. Airbnb NYC 2019 data contains listing activity and metrics. The dataset has been taken from https:/…

A task interface for Jupyter notebooks built on machine learning and big data

Jupyter Notebooks exploring Machine Learning techniques -- regression, classification (K-nearest neighbour (KNN), Decision Trees, Logistic regression vs Linear regression, Support Vector Machine), clustering (k-means, Hierarchical Clustering, DBSCAN), sci-kit learn and SciPy -- and where it applies to the real world, including cancer detection, …

This Repository is collection of notebooks with final Project of ML course with Python By IBM on Coursera.

a python code that uses the randomness of neural network training to find the ground state of a harmonic oscillator and its energy

My notebooks and datasets. I have uploaded data files as well as fully worked out Jupyter notebooks that contain various machine learning algorithms in action.

Machine Learning code examples in Jupyter notebook using Python

EDA for Covid-19 India

The notebook to my article in LinkedIn

Jupyter Notebook corresponding to 'Going with the Flow: An Introduction to Normalizing Flows'

IBM Professional Data Science Best Classifier Python Notebook

An LSTM model is used to predict optimal England and Australian Squads for the next ashes series based on the recent performances of the players. Jupyter notebooks and scraped datasets are attached with this repository.