Udacity Data Scientist Nanodegree Project - Employ supervised algorithms to accurately model individuals income

The objective of the dataset is to diagnostically predict whether or not a patient has diabetes, based on certain diagnostic measurements included in the dataset

Solve classical computer vision topic, image recognition, with simplest method, tiny images and KNN(K Nearest Neighbor) classification, and then move forward to the state-of-the-art techniques, bags of quantized local features and linear classifiers learned by SVC(support vector classifier).

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

Letter Recognition

Projects for my Data Analytics class

Kaggle Challenge: Bag of words meets bags of popcorn

Objective: To find if a given cancer specimen is malignant or benign using supervised machine learning algorithm- SVM (support vector machine)

Employee-Absenteeism-Project-Work

Credit Card Fraud Detection

Letter Recognition using SVM

This is a small project to classify the GTZAN dataset by applying multiple algorithms for training the models.

In this project, we will analyse customer-level data of a leading telecom firm, build predictive models to identify customers at high risk of churn and identify the main indicators of churn.

Apple Stock Price Forecasting using Sentiment Analysis

This repository contains important experiments and notebooks on wine quality analysis, related to the project of real-time wine sensing tool in Software Engineering and Project coursework.

Repo on how to install and use thundersvm.

An end-to-end plagiarism classification model, deployed to SageMaker.

Machine learning model Visualizer in web using streamlit

Deep-learning is hard bro !, so made a binary classifier in machine learning that uses HSV Color Space to Look out for Features