This is a mini project on Brain Stroke Prediction using ML Classification Algorithm(Logistic Regression)

Experiments in the field of Sentiment Analysis using ML Algorithms namely Logistic Regression, Naive Bayes along with tfidf, one hot encoding, bag of words vectorization. Different MLP and RNN models viz. LSTM, GRU, Bidirectional LSTM. Lastly, state of the art BERT model

Implementing all the math in basic ML algorithms by scratch using only Numpy

ML lab programs done as part of college coursework

Practice Implementation of All the Important ML Algorithms from Scratch as a Part of Master's Machine Learning Course.

Airline travel has become one of the most used means of transportation in the last decades. With the frequent travel by customers, there is a lot of increase in the airlines and so is the demand. To keep the existing customers and attract the new ones in the very competitive environment

Web app to predict live probability of win percentage of match

“A computer program is said to learn from experience E with respect to some task T and some performance measure P, if its performance on T, as measured by P, improves with experience E.”

Machine learning with Python.

Coleção de algoritmos de Machine Learning

All the Programs, Projects, Assignments and Notes of Data Science Domain will be Upload regularly in this Repository : Platform PW skills (Data Science)

A mini project on Brain Stroke Prediction using Logistic Regression with 89% Accuracy

🙈 what if we 😳 learned about how ML algorithms work, not just scikit-learn about instantiate, fit, and predict 😘

Basic data visualizations, Statistics and Machine Learning algorithms are implemented using R Language

Sample implementations of neural networks that solve the XOR problem from scratch in different languages

Applied_ML_Algorithms 🐍

🧶 A collection of Machine Learning algorithms implemented from scratch

This is a second version of my previous work