NaumanAnwar97

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/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