-
🔭 I’m currently an AI student at COMSATS UNIVERSITY ISLAMABAD
-
🌱 I’m currently working on DEEP LEARNING, specifically COMPUTER VISION for Scalable Applications.
-
☁️ I've a keen interest in generative AI So, I'm learning GANS
-
💬 Ask me about Machine Learning, Flask, YOLO, CNN, Data Analysis, mongoDB
-
📫 Feel free to reach me out bakrshykh2@gmail.com
- Islamabad, Pakistan
- in/abubakrshykh
- abubakrshykh
Highlights
- Pro
Pinned Loading
-
DecisionTrees-Binary-CLassification-
DecisionTrees-Binary-CLassification- PublicThe objective of this project is to build a decision tree model that can predict the survival of passengers on the Titanic based on certain features. The goal is to achieve high accuracy in predict…
Jupyter Notebook 3
-
MultipleLinearRegression
MultipleLinearRegression PublicThis multiple linear regression model is build to predict the salary of a potential employee based on their years of experience, level of education, and interview score.
Jupyter Notebook 1
-
Polynomial_Regression-Position-Salaries
Polynomial_Regression-Position-Salaries PublicThis repository contains code for a Polynomial Regression model trained to predict the salary based on position levels.
Jupyter Notebook 2
-
SimpleLogistciRegression
SimpleLogistciRegression PublicSimple logistic regression model that is trained on IRIS dataset and it used for multi classification pupose
Jupyter Notebook 2
-
DecisionTree-Multiclass-Classification
DecisionTree-Multiclass-Classification PublicIt is a decision tree model that is trained to predict the evaluation of a car in 4 categories based on certain features. The goal is to achieve high accuracy in predicting using decision tree mode…
Jupyter Notebook 2
-
SimpleLinearRegression
SimpleLinearRegression PublicThis is a simple linear regression model trained on the historical data of Canada's per capita income. The model uses the year as the independent variable to predict the per capita income. The data…
Jupyter Notebook 2
If the problem persists, check the GitHub status page or contact support.