Code of the first week of the challenge

My project for a competition in the Statistical Learning course - academic year 2022/2023

factor selection, exploratory data analysis, statistical learning on both qualitative and quantitative data in R

a repo for documenting implemented machine learning algorithms from scratch

Machine Learning: Supervised SVM Algorithms for Disease Classification using Gene Expression Profiles | SSC Case Study

analytica vidhya 2018 competition -principal component analysis

Deep-Learning bluebox

The system is implemented to scrape data from a booking website, perform Emotion Analysis on the reviews of the selected hotel and visualized the result over a time axis. R is used to implement the system and Shiny library is used to develop the Front-end.

Our entry for the "Big Mart Sales Prediction" hackathon by Analytics Vindhya

In this project, I trained an SVM model to classify donors (By making a buy) and to answer the question "How likely would a donor donate the next time?" based on his/her Age and Income.

Solving Real word problems using R programming

R programming

Visualising 2Way Random Forest Interactions

The intention of compiling this project is to study and to visualize the effect of various factors on each other. These factors are related to the app downloads on the Google play store. We also try to build a linear model which would be able to predict the effect of one variable on the outcome of another. Through this predictive model we also t…

algorithm practice in R

My repository (Lecture, Contest, Kaggle, Study, Paper)

The goal is to build a music recommendation system that can provide custom playlists for individual users based on collaborative and metadata filtering.