This repository contains the implementations of different neural network algorithms. The implementation is done without using any library functions.

In this repo I am trying to build test automation framework using machine learning in the error detection and prediction. By using ML the framework will be able to recover from the issue will face during execution process.

Introducing the data-driven concept through neural networks to price an option whose volatility is measured as a stochastic process.

The perceptron algorithm is the basic algorithm for classification, which serves as the backbone of the Neural Networks and SVM linear classification. This code will provide a deep understanding of the algorithm by taking you through it from scratch.

Deep Learning project to predict the outcomes of football matches

run in this terminal/command line

Random ideas I am investigating using FANN

ML Classification model to approve or deny credit card applications.

Binary classification of 50,000 highly polarized IMDB reviews using keras.

Exploring GloVe Embeddings

Building Simple Neural Network Model from Scratch Using Python to Identify Patterns in Dataset to Make Predictions.

Using a supercar and a common car datasets, we analyzed car variables with prices. Also created two machine learning models to create more relationships between variables and predict prices

Training and saving a model using cats_vs_dogs datasets to perform image classification

My projects and practices on various segments of machine learning and deep learning.

Credit Card Fraud Detection

Labs and assignments of `Computer Vision` course.

The project is mainly about Paper code reproduction

Comparing Different Machine Learning Methods to Deep Learning Models and how to use each models based on their datas.

In this project I created a sequential neural network to find the gender, case and number of words in Hindi. And also used Viterbi Algorithm to find the POS tags of words in a sentence in Hindi.

Comparison between various ML models to determine personality type (MBTI) based on some text people have written using Scikit-Learn