Kshitij Sharma's repositories
Lyft-Back-End-Engineering-Virtual-Experience-Program
Architecting a low-level system to improve performance and modularity! 🚗
Heart-Failure-Prediction
This problem is a typical Classification Machine Learning task. Building various classifiers by using the following Machine Learning models: Logistic Regression (LR), Decision Tree (DT), Random Forest (RF), XGBoost (XGB), Light GBM and Support Vector Machines with RBF kernel.
Partial-Dependent-Plots-Individual-Conditional-Expectation-Plots-With-SHAP
The goal of SHAP is to explain the prediction of an instance x by computing the contribution of each feature to the prediction. The SHAP explanation method computes Shapley values from coalitional game theory. The feature values of a data instance act as players in a coalition.
CS691-Wiki-Templates
CS691 Wiki Templates
Goldman-Sachs-FinTech-Engineering-Virtual-Experience-Program
👐 Hands-on experience with 😺 Hashcat along with deep dive in 🔐 password rules, hashing, and password cracking ⚠
Google-India-Challenge-Scholarship-Front-End-Web-Dev
Front-End Web Development
IBM-Stock-Predication-wiith-EDA
In this i tried to design a model that can predict the price of stock using different methods and algorithms.
LeetCode-Blind-75
Leetcode Blind 75 problems solved in Python for interview prep.
LeetCode-NeetCode-150
Leetcode NeetCode 150 problems solved in Python for interview prep.
Anomaly-Detection-On-Temperature-Device-Failure
A typical anomaly detection task and performing KMeans, PCA, Gaussian distribution, and Isolation Forest.
arcade-game
Udacity-->arcade-game
Car-Dealership-Database
Friendly Cars is a dealership that offers new cars from a single manufacturer. The dealership is located in a suburb of a large city. Its gross sales exceed one million dollars per year. It has ten employees – Jim Friendly (the owner/manager), eight salespeople, and an office manager.
CityBuddy
CityBuddy is an MTA-based navigation app designed for both New New Yorkers and Native New Yorkers. It prioritizes accessibility and language support, and features personalized alerts, hard-coded maps for underground travel, and skill-dependent directions. Community-enhanced data ensures accurate information.
LeetCode-NeetCode-All
Leetcode NeetCode All problems solved in Python for interview prep.
Classic-Solitaire-Unity
ClassicSolitaireUnity reimagines the timeless Solitaire game with Unity, featuring immersive gameplay, customizable themes, and adaptive difficulty. Ideal for enthusiasts and newcomers alike, it modernizes the classic card game for all ages
DevopsCert
Edureka
EDA-on-IPL
In this python notebook, analysis of IPL matches from 2008 to 2020 is done using python packages like pandas, matplotlib and seaborn.
feed-reader
Udacity-->feed-reader
INTEL-Stock-Predication-wiith-EDA
We are trying to design a model that can predict the price of stock using different methods and algorithms.
K-Means-Algorithm-On-The-Iris-Dataset
Applied the K-Means algorithm on the Iris dataset, and utilized the Silhouette Score method to find the best value of K
memory-game
Udacity-->memory-game
myreads_a_book_tracking_app
Udacity-->myreads_a_book_tracking_app
neighborhood_map_react
Udacity-->neighborhood_map_react
Partial-Dependent-Plots-and-Individual-Conditional-Expectation-Plots
Individual Conditional Expectation (ICE) plots display one line per instance that shows how the instance's prediction changes when a feature changes. The Partial Dependence Plot (PDP) for the average effect of a feature is a global method because it does not focus on specific instances, but on an overall average.
restaurant_reviews_app
Udacity-->restaurant-reviews-app