80-cereals-analysis

This is the analysis of 80 cereals, in which the nutrients data used to find "how to choose good cereals". Based on data visualization.

abhijeet007rocks8

ana1601-code

ana1601-code.github.io

api-list

List of fun apis that are free for troops to play with while learning javascript

asanas_yoga_website

Asanas is the yoga website through which yoga classes can be booked.

cat-and-dog-image-classifier

Classifying the images of Cat and Dog using Tensorflow and Keras by creating the Convolutional neural network

complete-python-3-bootcamp

Course Files for Complete Python 3 Bootcamp Course on Udemy

data-science

My notes pertaining to python programming, data analysis and visualization

developers-guide

Resources for developers to access

dsa-bootcamp-java

This repository consists of the code samples, assignments, and the curriculum for the Community Classroom complete Data Structures & Algorithms Java bootcamp.

dwvicy

isometric-contributions

Browser extension for rendering an isometric pixel art version of your GitHub contribution graph.

jina

Cloud-native neural search framework for any kind of data

kunal-kushwaha

machine-learning-glossary

This is the machine learning glossary I have created which have keywords and their definitions to understand the basic terms.

masterportfolio

🔥 The Complete Customizable Software Developer Portfolio Template which lets you showcase your work and provides each and every detail about you as Software Developer.

ml-roadmap

:robot: Roadmap to becoming a Machine Learning developer in 2020

personal-site-mlh_init

Making a simple personal website that contains general information about me.

rock-paper-scissors-game

This is the simple game, created using python.

simple-registration-form

Simple registration form coded in HTML.

titanic---machine-learning-from-disaster

The sinking of the Titanic is one of the most infamous shipwrecks in history. On April 15, 1912, during her maiden voyage, the widely considered “unsinkable” RMS Titanic sank after colliding with an iceberg. Unfortunately, there weren’t enough lifeboats for everyone onboard, resulting in the death of 1502 out of 2224 passengers and crew. While there was some element of luck involved in surviving, it seems some groups of people were more likely to survive than others. In this challenge, we ask you to build a predictive model that answers the question: “what sorts of people were more likely to survive?” using passenger data (i.e. name, age, gender, socio-economic class, etc).This is my first challenge on Kaggle.

udemy---machine-learning

Notebooks for Course

udemy-notes

My udemy notebooks

vikas-ukani

Here are my complete professional work details about me. It will help you to know in-depth information about me. Thank you to reach My Page Here. ❤