Name: Ashishkumar Rana
Type: User
Company: Intern at The Sparks Foundation
Bio: Pursuing Master's degree in Statistics from Ramniranjan Jhunjhunwala College.
Location: Mumbai, Maharashtra
Blog: https://www.linkedin.com/in/ashishkumar-rana
Ashishkumar Rana's Projects
Hello Data Enthusiast! I will be updating my 100-day Journey here along with detailed Code Files Starting from Essential Libraries to Advanced Machine Learning and Deep Learning Algorithm Theory with Implementation. Save for Later ā Happy Learning :)
Hello everyone! š This series will be based on Data Science interview questions for becoming a data scientist. Please do follow the regular Data Science interview questions for the coming 30 days. #day1 Let's Learn Together.šš Hoping for the best outcome and needful for all the enthusiasts of data science.
500 AI Machine learning Deep learning Computer vision NLP Projects with code
Config files for my GitHub profile.
A curated list of roadmaps covering different skills data science & AI careers and skills
A curated list of data science educational resources for essential data science skills
Resoruce to help you to prepare for your comming data science interviews
Curated list of data science interview questions and answers
Workshop to go over classification
This particular notebook consist of all the Feature Engineering technique and Feature Transformation technique
Code repository for the online course Feature Engineering for Machine Learning
This Particular repository contains different types of Feature Selection technique.
Algerian Forest Fire Prediction
Free R-Tips is a FREE Newsletter provided by Business Science. It comes with bite-sized code tutorials every week.
A curated list of articles and tutorials to start with and understand generative AI
Hadoop Interview Questions and Answers
This notebook contains the Prediction of Revenue of Ice-cream using Linear Regression and Decision Tree Regression Algorithm.
Curated collection of awesome resources and tutorials for mastering Data Science, Machine Learning, Deep Learning, and Python.
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
Large Language Models: In this repository Language models are introduced covering both theoretical and practical aspects.
First draft of logistic regression workshop for DSS
This particular repository consist of all Machine Learning Supervised and Unsupervised Algorithms along with Practical Implementation
Repository containing notebooks of my posts on Medium
This is the Mushroom Classification project based on Supervised machine learning problem statement. The problem statement is classify the class of Mushroom into edible and piousness.