Building Simple Neural Network Model from Scratch Using Python to Identify Patterns in Dataset to Make Predictions.
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Updated
Sep 19, 2022 - Jupyter Notebook
Building Simple Neural Network Model from Scratch Using Python to Identify Patterns in Dataset to Make Predictions.
Face ID Authentication Website
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.
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
Comparison between various ML models to determine personality type (MBTI) based on some text people have written using Scikit-Learn
This project presents a neural network-based classifier to predict whether a person is at risk of developing chronic kidney disease (CKD).
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.
Triple Three Engine (3T) is a Tic Tac Toe engine. It uses Machine Learning (ML) to predict the best move in a given Tic Tac Toe position. It can be trained to predict the best move in any board size, although the default is a 3 by 3 board.
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.
Labs and assignments of `Computer Vision` course.
Models for Lyrics Generation
Solutions to Machine Learning Exercises (ML Course, Standford)
Pyhton projects on various topics
Trained an image classifier to recognise different species of flowers using transfer learning technique.
Dog cat classifier that has a GUI to look into the layer activations
PS: This code is mostly written by various AI models including (Llima 3.1, GPT4o and Gemini 1.5 pro)
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