NaumanAnwar97
Passionate about Machine Learning and AI 🤖 | Skilled in Python 🐍, R 📊, and SQL 📚 | SPSS | Excel.
Pinned Repositories
Calculator-CLI
Daraz-Product-Sentiment-Analysis
This project aims to conduct sentiment analysis on product reviews collected from Daraz website. The user can choose the desired product category to scrape data from. The collected data will be cleaned and preprocessed, and then the sentiment of the reviews will be analyzed
Evaluating-Classification-Models
Feature-Selection
Feature Selection Using Python (Forward Selection and Backward Elimination)
Functions
Grade-Checker-CLI
kMeans_Silhoulttee_Score
K Means Clustering in R (Silhouttee Score)
KNN-Classification
KNN Classification Using SkLearn
PCA
Principal Component Analysis Using Python
PCA-using-variance-
Choosing the Right Number of Dimensions Instead of arbitrarily choosing the number of dimensions to reduce down to, it is simpler to choose the number of dimensions that add up to a sufficiently large portion of the variance (e.g., 95%).
NaumanAnwar97's Repositories
NaumanAnwar97/Calculator-CLI
NaumanAnwar97/Daraz-Product-Sentiment-Analysis
This project aims to conduct sentiment analysis on product reviews collected from Daraz website. The user can choose the desired product category to scrape data from. The collected data will be cleaned and preprocessed, and then the sentiment of the reviews will be analyzed
NaumanAnwar97/Evaluating-Classification-Models
NaumanAnwar97/Feature-Selection
Feature Selection Using Python (Forward Selection and Backward Elimination)
NaumanAnwar97/Functions
NaumanAnwar97/Grade-Checker-CLI
NaumanAnwar97/kMeans_Silhoulttee_Score
K Means Clustering in R (Silhouttee Score)
NaumanAnwar97/KNN-Classification
KNN Classification Using SkLearn
NaumanAnwar97/LinearRegression
Linear Regression using Machine Learning Algorithm.
NaumanAnwar97/PCA
Principal Component Analysis Using Python
NaumanAnwar97/PCA-using-variance-
Choosing the Right Number of Dimensions Instead of arbitrarily choosing the number of dimensions to reduce down to, it is simpler to choose the number of dimensions that add up to a sufficiently large portion of the variance (e.g., 95%).
NaumanAnwar97/Logistic-Regression
NaumanAnwar97/ModelEvaluation
NaumanAnwar97/Multiclass-Classification-Models
NaumanAnwar97/NaumanAnwar97
Config files for my GitHub profile.
NaumanAnwar97/PIAIC_ASSIGNMENT_1
This repository contains solution to the first TypeScript Assignment.
NaumanAnwar97/Practicing-Arrow-Functions
NaumanAnwar97/Predictive-Modeling
NaumanAnwar97/Python
NaumanAnwar97/RandomForest
NaumanAnwar97/Unsupervised-Learning
K-Means Clustering, Elbow Method, DBSCAN along with PCA