ksharma67/LeetCode-NeetCode-All

Leetcode NeetCode All problems solved in Python for interview prep.

Language: Python - Size: 485 KB - Last synced at: 2 months ago - Pushed at: almost 2 years ago - Stars: 2 - Forks: 1

ksharma67/Fetch-Receipt-Processor-Challenge

Backend Take-Home Exercise

Language: Python - Size: 6.84 KB - Last synced at: 4 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

ksharma67/LeetCode-NeetCode-150

Leetcode NeetCode 150 problems solved in Python for interview prep.

Language: Python - Size: 193 KB - Last synced at: 3 months ago - Pushed at: over 2 years ago - Stars: 5 - Forks: 0

ksharma67/app

Language: JavaScript - Size: 5.12 MB - Last synced at: 2 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

ksharma67/NextJS

Language: TypeScript - Size: 246 KB - Last synced at: 2 months ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

ksharma67/Flask

Language: Python - Size: 13.7 KB - Last synced at: 2 months ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

ksharma67/StackSync

StackSync Assessment

Language: Dockerfile - Size: 4.88 KB - Last synced at: 15 days ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

ksharma67/Kaizntree

Kaizntree-Full-Stack Take Home Challenge

Language: Vue - Size: 60.5 MB - Last synced at: 2 months ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

ksharma67/Goldman-Sachs-FinTech-Engineering-Virtual-Experience-Program

👐 Hands-on experience with 😺 Hashcat along with deep dive in 🔐 password rules, hashing, and password cracking ⚠

Size: 63.5 KB - Last synced at: 2 months ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 0

ksharma67/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.

Language: Jupyter Notebook - Size: 1.07 MB - Last synced at: 15 days ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0

ksharma67/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

Language: ShaderLab - Size: 5.97 MB - Last synced at: 4 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

ksharma67/CS691-Wiki-Templates

CS691 Wiki Templates

Size: 1.95 KB - Last synced at: 2 months ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

ksharma67/LeetCode-Blind-75

Leetcode Blind 75 problems solved in Python for interview prep.

Language: Python - Size: 95.7 KB - Last synced at: 2 months ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 0

ksharma67/EasyWay

On Demand Home Services offers you all the home services that you may need, such as maintenance, cleaning, personal services, etc..

Language: JavaScript - Size: 755 MB - Last synced at: 4 months ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 3

ksharma67/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.

Language: Jupyter Notebook - Size: 10.1 MB - Last synced at: 6 days ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0

ksharma67/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.

Size: 3.9 MB - Last synced at: 2 months ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0

ksharma67/Lyft-Back-End-Engineering-Virtual-Experience-Program

Architecting a low-level system to improve performance and modularity! 🚗

Language: Python - Size: 620 KB - Last synced at: 4 days ago - Pushed at: almost 3 years ago - Stars: 7 - Forks: 5

ksharma67/ksharma67

GitHub profile.

Size: 38.1 KB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 0 - Forks: 0

ksharma67/Google-India-Challenge-Scholarship-Front-End-Web-Dev

Front-End Web Development

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ksharma67/feed-reader

Udacity-->feed-reader

Language: JavaScript - Size: 59.6 KB - Last synced at: 2 days ago - Pushed at: almost 7 years ago - Stars: 0 - Forks: 0

ksharma67/Anomaly-Detection-On-Temperature-Device-Failure

A typical anomaly detection task and performing KMeans, PCA, Gaussian distribution, and Isolation Forest.

Language: Jupyter Notebook - Size: 483 KB - Last synced at: 3 days ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

ksharma67/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

Language: Jupyter Notebook - Size: 551 KB - Last synced at: about 2 months ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

ksharma67/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.

Language: Jupyter Notebook - Size: 554 KB - Last synced at: 10 days ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 1

ksharma67/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.

Language: Jupyter Notebook - Size: 494 KB - Last synced at: 2 months ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 0

ksharma67/INTEL-Stock-Predication-wiith-EDA

We are trying to design a model that can predict the price of stock using different methods and algorithms.

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ksharma67/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.

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ksharma67/arcade-game

Udacity-->arcade-game

Language: JavaScript - Size: 21 MB - Last synced at: about 2 months ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

ksharma67/restaurant_reviews_app

Udacity-->restaurant-reviews-app

Language: JavaScript - Size: 2.07 MB - Last synced at: 2 months ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

ksharma67/neighborhood_map_react

Udacity-->neighborhood_map_react

Language: JavaScript - Size: 829 KB - Last synced at: 11 days ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

ksharma67/myreads_a_book_tracking_app

Udacity-->myreads_a_book_tracking_app

Language: JavaScript - Size: 929 KB - Last synced at: 2 months ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

ksharma67/memory-game

Udacity-->memory-game

Language: CSS - Size: 68.4 KB - Last synced at: 2 months ago - Pushed at: about 7 years ago - Stars: 0 - Forks: 0

ksharma67/DevopsCert

Edureka

Language: Hack - Size: 21 MB - Last synced at: 2 months ago - Pushed at: over 5 years ago - Stars: 0 - Forks: 0

ksharma67/projCert Fork of edureka-devops/projCert

Size: 8.96 MB - Last synced at: over 2 years ago - Pushed at: almost 6 years ago - Stars: 0 - Forks: 0