shah-zeb-naveed's repositories
coding-interview-university
A complete computer science study plan to become a software engineer.
CodingInterviews
This repository contains coding interviews that I have encountered in company interviews
credit-risk-prediction
Credit Risk Prediction using Regularized Logistic Regression in R (Statistics-heavy)
customer-classification-deep-learning
Customer Classification using Random Forest and Deep Learning (MLP)
distributed-computing-pyspark
Distributed Computing using PySpark
fashion-mnist
Deep Learning (FCN, CNN and Residual Networks) for Fashion-MNIST Classification
time-series-temperature-forecasting
Time Series Forecasting of Temperature using SARIMA
covid-classification-trees-naivebayes
COVID Case Status Classification using Decision Trees, Random Forests, Gradient Tree Boosting and Categorical Naive Bayes
data-structures-and-algorithms
Data Structures and Algorithms
facial-recognition-opencv
Facial Recognition using OpenCV in C++
idao-2021-dark-energy
Dark Energy Particle Classification and Energy Regression - IDAO 2021 Submission
image-editing-application
Image Editing using OpenCV in C++
introtodeeplearning
Lab Materials for MIT 6.S191: Introduction to Deep Learning
iris-classification
Classification using KNN on Iris dataset
livability-analysis
Livability Analysis for Communities in Canada in Python
mnist-classification
MNIST Classification using CNN with Keras
optical-character-recognition
Optical Character Recognition using Tesseract in C++
pre-interview-notes
Notes and Resources on Machine Learning and Statistics
school-management-system
School Management System in C
sql
SQL Queries
stock-index-prediction-deep-learning
S&P 500 Stock Index Prediction with Deep Learning using Tensorflow in Python
tuberculosis-factor-analysis
Tuberculosis Factor Analysis in R (Statistics-heavy)
wine-quality-prediction
Wine Quality Prediction using Logistic Regression in R (Statistics-heavy)