stabgan/Polynomial-Regression

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Language
R
License
MIT License
Created almost 7 years ago
Updated over 6 years ago

stabgan/Polynomial-Regression

stabgan

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Implementation of Polynomial Regression Model using both Python and R

Recurrent-Neural-Networks-to-predict-Google-Stock-Price

I tried to predict google stock price using LSTMs

Linear-Discriminant-Analysis

We used LDA in this project to expand the capabilities of our Logistic Regression Classifier in both Python and R

Multiple-Linear-Regression

Implementation of Multiple Linear Regression both in Python and R

LSTM-using-pyTorch

I implemented a challenging LSTM network using pyTorch on the MNIST datase

Upper-Confidence-Bounds

I implemented the reinforcement learning based model Upper Confidence Bound in both Python and R

GANs-using-pyTorch-from-Scratch

My favourite project till now . In this GAN I implemented a simple generator which generates Some samples based on a dataset and gets creative after a few Epochs

Autoencoder-using-pyTorch

I implemented an Autoencoder for understanding the relationship of the different movie styles and what can we recommend to a person who liked a set of movies

Virtual-Self-Driving-Car-AI-using-Kivy-and-Reinforcement-Learning

I implemented a car which is built using Kivy framework and then used 3 sensors and trained it using Reinforcement Learning

Thompson-Sampling

I applied The Thompson Sampling model in both python and R

Hierarchical-clustering

I used the Hierarchical model using dendrograms in both Python and R

blockbreakergame

I made a classic Breakout style block breaker game with sounds , vfx and multiple levels using Unity and C#

ipynb_to_pdf

Desktop application developed using python and PyQT5 to convert multiple jupyter notebooks (.ipynb) files to pdf, by selecting the extraction location.

Boltzmann-Machines-using-pyTorch

I implemented a deep boltzmann machine to find out the relationship between the movie choices a person make to recommend him/her a movie

Training-a-Breakout-AI-using-OpenAI-gym-environment

I implemented LSTMs and reinforcement Learning to train an AI who learns to play Breakout

Binary-Search-Tree-and-tree-sort-from-Scratch-in-Java

Java implementation of BST with different methods out of the box

Support-Vector-Regression

I implemented Support Vector Machine as our Regressor both in Python and R

Parrot-Chatbot

A simple portfolio chatbot using Heroku , node.js and facebook api

stabgan

CNN-classification-of-MNIST-dataset-using-pyTorch

I implemented the Convolutional Neural Networks using pyTorch

Feed-Forward-Neural-Network-in-pyTorch

I implemented a feed forward nn in pyTorch which adds an extra layer over logistic regression model

XGBoost

Applying XGBOOST to produce a reliable and quick model

K-Nearest-Neighbours

I applied the K-NN model for my classification problem in both R and Python

Principle-Component-Analysis

In this project I used Principal Component Analysis in the Variables and used the other machine learning models for execution in both Python and R

Concurrent-FTP-Distributed-Math-Server

A server concurrently communicating with 7 clients . Features are file sending and receiving , and distributed mathematical operations using socket and python

guessgame

This is a simple game I made from Scratch using Unity and C# and based on the concept of binary search . It is hosted in github page and also native MacOS game is inside this repo . Have fun !

Object-Detection-using-Single-Shot-Detection

I used a pre built SSD model , and trained it using pyTorch to identify objects of a particular video file .

tower-of-hanoi-webapp

Interactive visualisation and animation of tower of hanoi , hosted on heroku