Mukund Sojitra's Projects
Artificial Intelligence
Awesome AI Learning with +100 AI Cheat-Sheets, Free online Books, Top Courses, Best Videos and Lectures, Papers, Tutorials, +99 Researchers, Premium Websites, +121 Datasets, Conferences, Frameworks, Tools
😎 A curated list of awesome GitHub Profile READMEs 📝
This repository contains best profile readme's for your reference.
One of the most popular starter data sets in data science, the Titanic data set. This is a data set that records various attributes of passengers on the Titanic, including who survived and who didn’t. Here I have detected some missing value, replace the missing values and also create new values added to the dataset. There are two csv files, first one is titanic_original.csv and second one is tatanic_clean.csv. Second csv is generated from the R code, called 'titanic.r' here. Have fun.
A Collection of GitHub Profiles with awesome readme
Deep Learning Specialization by Andrew Ng on Coursera.
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
This repository contains my full work and notes on Coursera's NLP Specialization (Natural Language Processing) taught by the instructor Younes Bensouda Mourri and Łukasz Kaiser offered by deeplearning.ai
Try out deep learning models online on Google Colab
Notebooks for learning deep learning
A machine learning based website which recommends the best crop to grow, fertilizers to use and the diseases caught by your crops.
Implementation of Bayesian Hyperparameter Optimization of Machine Learning Algorithms
All the ML assignments from iNeuron ML course are uploaded here.
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
Python machine learning applications in image processing and algorithm implementations including Dawid-Skene, Platt-Burges, Expectation Maximization, Factor Analysis, Gaussian Mixture Model, OPTICS, DBSCAN, Random Forest, Decision Tree, Support Vector Machine, Independent Component Analysis, Latent Semantic Indexing, Principal Component Analysis, Singular Value Decomposition, K Nearest Neighbors, K Means, Naïve Bayes Mixture Model, Gaussian Discriminant Analysis, Newton Method, Gradient Descent
Python code for common Machine Learning Algorithms
A mindmap summarising Machine Learning concepts, from Data Analysis to Deep Learning.
Content from Coursera's ADVANCED MACHINE LEARNING Specialization (Deep Learning, Bayesian Methods, Natural Language Processing, Reinforcement Learning, Computer Vision).
Code samples for my book "Neural Networks and Deep Learning"
Scikit-Learn, NLTK, Spacy, Gensim, Textblob and more
an open online retail data set analysis
Analysis on Online Retail Dataset based on UK stores
My Graduate Capstone Project - This is a Product Recommendation System for a Local Wholesaler in India, using Python and Machine Learning