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Recurrent-Neural-Networks-to-predict-Google-Stock-Price
I tried to predict google stock price using LSTMsLinear-Discriminant-Analysis
We used LDA in this project to expand the capabilities of our Logistic Regression Classifier in both Python and RMultiple-Linear-Regression
Implementation of Multiple Linear Regression both in Python and RLSTM-using-pyTorch
I implemented a challenging LSTM network using pyTorch on the MNIST dataseUpper-Confidence-Bounds
I implemented the reinforcement learning based model Upper Confidence Bound in both Python and RGANs-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 EpochsVirtual-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 LearningPolynomial-Regression
Implementation of Polynomial Regression Model using both Python and RThompson-Sampling
I applied The Thompson Sampling model in both python and RHierarchical-clustering
I used the Hierarchical model using dendrograms in both Python and Rblockbreakergame
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 movieTraining-a-Breakout-AI-using-OpenAI-gym-environment
I implemented LSTMs and reinforcement Learning to train an AI who learns to play BreakoutBinary-Search-Tree-and-tree-sort-from-Scratch-in-Java
Java implementation of BST with different methods out of the boxSupport-Vector-Regression
I implemented Support Vector Machine as our Regressor both in Python and RParrot-Chatbot
A simple portfolio chatbot using Heroku , node.js and facebook apistabgan
CNN-classification-of-MNIST-dataset-using-pyTorch
I implemented the Convolutional Neural Networks using pyTorchFeed-Forward-Neural-Network-in-pyTorch
I implemented a feed forward nn in pyTorch which adds an extra layer over logistic regression modelXGBoost
Applying XGBOOST to produce a reliable and quick modelK-Nearest-Neighbours
I applied the K-NN model for my classification problem in both R and PythonPrinciple-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 RConcurrent-FTP-Distributed-Math-Server
A server concurrently communicating with 7 clients . Features are file sending and receiving , and distributed mathematical operations using socket and pythonguessgame
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 herokuLove Open Source and this site? Check out how you can help us