Paraboy's repositories
33-js-concepts-by-leonardosmo
📜 33 JavaScript concepts every developer should know.
50projects50days
50+ mini web projects using HTML, CSS & JS
Ads_Optimisation
REINFORCEMENT LEARNING : We are given a dataset that contains information about the ads clicked by the visitors at each visit to a webpage (amongst 10 different ads). Our Task is to find the most viewed ad i.e ad having the highest distribution of the viewers in Minimum number of Rounds and Resources. Here I have used "Upper Confidence Bound" and "Thompson Sampling" models to get the insights.
Aman-Barnwal-Leetcode-Solutions
This repo contains my Leetcode Solutions question-wise !
CompanyList-by-Priyaraj-Sharma
Company Tracker website for everyone.
CP-Templates-by-Priyansh
Here are my template codes for Competitive Programming with optimised implementations of various algorithms. I personally use them every day and have tested almost all of them in multiple competitive programming contests and practice problems
DBMS_SQL-Notes
DBMS_SQL Notes
doto-client
Track your progress and multiply efficiency
DSA-Bootcamp-Java
This repository consists of the code samples, assignments, and notes for the Java Data Structures & Algorithms bootcamp of Community Classroom.
End-to-End-small-projects
A repository for multiple end to end small machine learning and deep learning projects from scratch to production
Fraud_Prediction
This Dataset contains Information about 39221 transaction. After Trying/Training models like Naive Bayes/Decision Tree etc. Finally I was able to get 100% accuracy with Random Forest Classification as it was able to Segregate 0(non Fraudulent) & 1(fraudulent) accurately in leaf Nodes, based on 'Entropy' Criterion.
Heart-Disease-Prediction
Given data of 303 Patient, we have to predict if He/She suffers from Heart Disease. So after training various Classification, with KNN models I was able to achieve highest K fold Score of 86.9 % and Standard Deviation of 9.9%
Insurance-Prediction-
Here Data contains medical information & costs billed by Insurance Company on 1338 person. Here I was able to train a Predictive model with R2 score of 85.604 %
Iris-Flower-Clustering
Our objective is to categorize Iris flowers into 3 sub groups, with 50 samples for each (versicolor, virginica, setosa). Using K means & Agglomerative Clustering I was able to completely segregate them into 3 different breeds. with Accuracy Score of 1.0
javascript-beginning-to-mastery-byHarshitVashisth
Javascript beginning to mastery by Harshit Vashisth
javascript-questions-by-lydiahallie
A long list of (advanced) JavaScript questions, and their explanations :sparkles:
LeetCode-Solutions
🏋️ Python / Modern C++ Solutions of All 2157 LeetCode Problems (Weekly Update)
LeetCodeSolutions
C++ / JAVA Optimised Solutions for LeetCode Problems || Daily Update
Market-Basket-Optimization
ASSOCIATION RULE LEARNING : We are given with 7501 transaction of a Famous Commodity Shop. We have to find the Best Suited Pair for Buy 1 Get 1 offer, that is to be given by the Shop Owner. So here I have used APRIORI Model to select most Relevant Pairs.
Notes_Of_SQLSeries-by-Sumit-Sir
Sumit Mittal sir SQL codes and notes
project-based-learning
Curated list of project-based tutorials
py
Repository to store sample python programs for python learning
Resources-for-preparation-Of-Placements
Lecture video links for preparation of Placements
vanillawebprojects
Mini projects built with HTML5, CSS & JavaScript. No frameworks or libraries