Malik-Khawar

cancer-cell-type-using-svm

This machine learning project aims to predict whether a cell sample is benign or malignant using Support Vector Machines (SVM). The project utilizes a dataset containing various features extracted from cell samples, to train an SVM model. The trained model can be used to classify new cell samples as benign or malignant.

CO2-emissions-using-Liner-Regression

Credit-Card-Fraud

This repository contains Credit Card Fraud Detection models implemented using scikit-learn and snapML libraries. The models are built using the DecisionTreeClassifier and Support Vector Machine (SVM) algorithms.

data-science-capstone

This includes all of the lab works done in course 10 of IBM Data Science Professional Certification

drum-kit-js

K-Nearest-Customer-Segmentation

Our objective is to build a classifier, to predict the class of unknown cases. We will use a specific type of classification called K nearest neighbour.

MAGIC-gamma-telescope

Music-Genre-Classification-Using-DL

I used GTZAN audio dataset with 10 different music genre and create a Deep Learning model to predict the correct genre of the input music.

PhoneBook

PythonProjectForDataScience-PeerGradedAssignment-

IBM Python Project For Data Science (Peer Graded Assignment)

Malik-Khawar/Music-Genre-Classification-Using-DL

I used GTZAN audio dataset with 10 different music genre and create a Deep Learning model to predict the correct genre of the input music.

Malik-Khawar/data-science-capstone

This includes all of the lab works done in course 10 of IBM Data Science Professional Certification

Malik-Khawar/MAGIC-gamma-telescope

Malik-Khawar/cancer-cell-type-using-svm

This machine learning project aims to predict whether a cell sample is benign or malignant using Support Vector Machines (SVM). The project utilizes a dataset containing various features extracted from cell samples, to train an SVM model. The trained model can be used to classify new cell samples as benign or malignant.

Malik-Khawar/Credit-Card-Fraud

This repository contains Credit Card Fraud Detection models implemented using scikit-learn and snapML libraries. The models are built using the DecisionTreeClassifier and Support Vector Machine (SVM) algorithms.

Malik-Khawar/K-Nearest-Customer-Segmentation

Our objective is to build a classifier, to predict the class of unknown cases. We will use a specific type of classification called K nearest neighbour.

Malik-Khawar/CO2-emissions-using-Liner-Regression

Malik-Khawar/PythonProjectForDataScience-PeerGradedAssignment-

IBM Python Project For Data Science (Peer Graded Assignment)

Malik-Khawar/PhoneBook

Malik-Khawar/drum-kit-js

Malik-Khawar/shakrdp