webdeveloper13
ML ENTHUSIAST || FRONT END WEB DEVELOPER || WORDPRESS DEVELOPER || COMPETITIVE CODER
MIT MANIPAL
webdeveloper13's Stars
Avik-Jain/100-Days-Of-ML-Code
100 Days of ML Coding
yangshun/front-end-interview-handbook
⚡️ Front End interview preparation materials for busy engineers
google-deepmind/deepmind-research
This repository contains implementations and illustrative code to accompany DeepMind publications
zaproxy/zaproxy
The ZAP by Checkmarx Core project
datreeio/datree
Prevent Kubernetes misconfigurations from reaching production (again 😤 )! From code to cloud, Datree provides an E2E policy enforcement solution to run automatic checks for rule violations. See our docs: https://hub.datree.io
rainyear/python3-in-one-pic
Learn python3 in one picture.
TarrySingh/Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials
A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more.
andrewekhalel/MLQuestions
Machine Learning and Computer Vision Engineer - Technical Interview Questions
tirthajyoti/Papers-Literature-ML-DL-RL-AI
Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning
enggen/Deep-Learning-Coursera
Deep Learning Specialization by Andrew Ng, deeplearning.ai.
LastAncientOne/Deep_Learning_Machine_Learning_Stock
Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.
AlessandroCorradini/University-of-California-San-Diego-Big-Data-Specialization
Repository for the Big Data Specialization from University of California San Diego on Coursera
Nideesh1/Algo
Crushing Leetcode Qs'
mansi1597/Heart-disease-prediction
kb22/Web-Scraping-using-Python
This project scrapes Wikipedia for its articles using BeautifulSoup to create a dataset and then draws analysis on the collected data.
kb22/Used-Car-Price-Prediction
I'll use various machine learning algorithms to predict the price of used cars.
kb22/Understanding-Numpy
This repository explores various Numpy commands which are quite useful for working with datasets and handling array operations.
avnishsachar/manipal_thesis_template
Thesis template for Manipal Institute of Technology (final year project/ bachelor's thesis)
MIT-CSE-2019/sem7
semester seventh code
najuzilu/big_data_ucsd
Coding exercises and Problem Sets for UCSD Big Data Specialization
webdeveloper13/Leetcode_practiceForSDE
Questions from leetcode for practice topicwise and daywise :)
anshabhi/Deep-Learning-Coursera
Deep Learning Specialization by Andrew Ng, deeplearning.ai.
webdeveloper13/ComputerScience-Books
For a lot of people, pursuing computer science, either as a career or as a skill, can seem daunting. Not to fear, though! I’ve rounded up some must-read computer science books to help get you started!
webdeveloper13/Covid19_Data_Analysis
In this project, I have preprocessed and merged datasets to calculate needed measures and prepare them for an Analysis with the COVID19 dataset, published by John Hopkins University, which consists of the data related to the cumulative number of confirmed cases, per day, in each Country. Also, there is another dataset consist of various life factors, scored by the people living in each country around the globe. I have merged these two datasets to see if there is any relationship between the spread of the virus in a country and how happy people are, living in that country.
webdeveloper13/dbs_mini_project
Mini_Project_DBS
webdeveloper13/Decision_tree-to-predict-heart-disease
In this project I have use scikit-learn and Cost Complexity Pruning to build a Classification Tree, which uses continuous and categorical data from the UCI Machine Learning Repository to predict whether or not a patient has heart disease.
webdeveloper13/Face-Recogniton-Using-SVMs
In this project Support Vector Machine(SVM) model is used for face recognition. The labeled dataset is generated from scikit library itself and the model then puts the labels and if it is correct the name is black in colour else it is in red colour. The accuracy of the model is about 86%.
webdeveloper13/Image-Compression_K-means
In this project, I have applied K-means clustering algorithm from scikit learn library in Python to perform the operation of image compression.
webdeveloper13/List-of-Learning-Resources
This collection provides a list of educational resources for Software Engineers. Feel free to add your favorite resources as well and help others in their journey of learning.
webdeveloper13/Predicting_Employee_Churn
In this project I am Predicting Employee Turnover with Decision Trees and Random Forests using scikit-learn. In this project, I have used Python and scikit-learn to grow decision trees and random forests, and apply them to an important business problem. Additionally I have interpreted decision trees and random forest models using feature importance plots. Also Leveraged Jupyter widgets to build interactive controls,by which one can change the parameters of the models on the fly with graphical controls, and see the results in real time. The employee churn dataset is taken from Kaggle