Discover @fsiddh Open Source projects

Falansh Siddh (@fsiddh)

fsiddh

Stars
687
Global Rank 43,643 (Top 2 %)
Followers 135
Following 6
Registered about 5 years ago
Most used languages

Python
43.8 %

Jupyter Notebook
25.0 %

JavaScript
25.0 %

HTML
6.3 %
Location 🇮🇳 India
Country Total Rank 1,580
Country Ranking

Jupyter Notebook
96

JavaScript
495

Python
2,626

IBM-Data-Science-Professional-Certification

This repository contains all the resources and solution to quizzes given and asked in IBM Data Science Professional Certification.

Jupyter Notebook

Data-Structures-in-Real-Life-Projects

Machine-Learning-Masters

This repository consists content, assignments, assignments solution and study material provided by ineoron ML masters course

Jupyter Notebook

Python-and-Django-Full-Stack-Web-Developer-Bootcamp

This repository contains all the resources this course has to offer.

PepCoding-Program

All the study material and the assignments which I made/ got and did respectively will be uploaded here.

Hospital-Geolocator

Datasets

This repository contains various types of Datasets.

HackerRank

This repository contains the most efficient hackerrank solutions for most of the hackerrank challenges and Domains.

Machine-Learning-Techniques

This repository consists of Machine Learning Techniques (Both Supervised and Unsupervised Learning) which you go through for more better and broader understanding of different methods used in solving machine learning problems.

Jupyter Notebook

facebook-scrapper

ALGORITHMS

Implementation of various algorithms

File-Zipper-Huffman-Encoding

This is a js project

Pygame

Bazaar

Built an Django based Ecommerce Website.

Weather-Chatbots

This repo consists of Weather Chatbots using different platforms

Data-Structures-in-Python

Capstone-Project

This Repository will be only used to create the Final Project or Capstone Project (Data Science Final Project)

Jupyter Notebook

Mathematics-for-Machine-Learning

Mathematics, a great friend in the disguise of a foe since the old ages. Its importance isn’t something that I need to reiterate because all of you know what it has helped us achieve throughout history. So what does Mathematics have to do with Machine Learning? Let’s find out.