TalkingData AdTracking Fraud Detection Challenge

iMaterialist Challenge (Furniture) at FGVC5 solution with Pytorch

Statistics class project aimed at studying the relationship between temperature and other attributes such as humidity, pressure, etc in Szeged, Hungary to build effective predictive models.

A neural networks project that categorizes different poems in the dataset according to their genre

Scraping data through Instagram and using the data to build a predictive model

A CNN model that classifies German traffic signs

Colab notebook for exploring the impact of overlapping data in a small 3D convolutional neural network.

there is a company called Subsidy Inc. which delivers subsidies to individuals based on their income. So, if your income levels are different, you get different subsidies and so on. However and whenever someone new comes in, it is very difficult to get information about personal income. So, that is one of the most difficult pieces of data to get…

Machine Learning. I am building a prediction model, using Logistic Regression, and evaluating its performance with confusion matrix, GridsearchCV,

Developed ML Model to predict whether a loan will be approved or not, based on various parameter, such as Marital Status, Income, etc.

Classification model using R to classify white wine as either good, bad, or normal

Pytorch and Tensorflow 2.x Architectures for Classifying 40+ Characters

This repository presents the Implementation of Convolutional Neural Netwoks along with ResNet by using Fast.ai from scratch.

A helper app to kick-start your machine learning model building. This app builds a lot of basic models and help you understand which models works better on your dataset, without any parameter tuning

An artificial intelligence designed to emulate human mathematical problem solving. Heavily utilizes NLP (Natural Language Processing) and other forms of classification to imitate problem solving.

Classification model on identifying Hall-of-Fame MLB players based on career statistics. Provides insight on active players whose rookie cards are potentially undervalued.

This program is a small part (some demo part) of big Determinant of Minerals Project!

Use machine learning classifier to predict author of a piece of Literature NOT looking the content but using "function" words only

In this project, we built a model that will take human image data and classify the images as of Indian origin human from others. The dataset comprise images of humans with different skin tones(Fair, Mild, and Dark) and the model gives optimal prediction results for both males and females image.

Deep Network implemented from scratch using only NumPy. This is my interpretation of Dense and Sequential available in the Tensorflow package.