Rimika's Projects
This repository contains my solution to the resume project challenge 4 conducted by CodeBasics.
The project is all about Sentiment Analysis of Car Brands. An overview of the car related specifications have also been visualized through Exploratory Data Analysis. Hope it will give you a perception about the key specifications of different car brands. The link is provided below โ, where you can find the code file of this project.
This is a short Test Assignment on Data Visualization of 9 types of Crypto currencies. All the works had been done on the basis of the given problem statements. The link is provide belowโ, where you can find the code file of this project. https://nbviewer.org/github/RB100-git/Crypto-Currency-Analysis/tree/main/
Implemented Pytorch to create simple linear regression model using Stochastic Gradient Descent.
A Machine Learning Repository where we'll learn how Simple Linear Regression Algorithm takes place in our model & predicts weights on the basis of heights.
This repository contains all the assignments and their solutions given by the respective mentors of Machine Learning Bootcamp (2022), conducted by iNeuron.ai.
MNIST digit classification using Machine Learning Algorithm.
Classification of music genres using audio files.
A machine learning model to predict music preferences of a person based on their age and gender.
Power BI Projects
Detailed analysis of extensive survey data, enabling strategic insights for CodeX's(A German Beverage Company) successful entry and growth in the Indian beverage market.
This repository consists of IBM's skill development course on Pytorch
Use this template if you need a quick developer / data science portfolio! Based on a Minimal Jekyll theme for GitHub Pages.
This repository contains a Python web application that allows users to search for YouTube videos based on a given topic and retrieves relevant video data such as video title, channel name, view count, likes, duration. The data is then saved to a CSV file for further analysis and can be downloaded by the user.