Lorenc Zhuka's Projects
This is a group project that is part of the Master's degree in Data Science at the Darmstadt University of Applied Sciences. The topic was presented by 'Sanofi', and the project was completed within 6 months. It consists of building a framework for various active (machine) learning strategies using Python, PyTorch, and TensorFlow.
In this repo I have built an end to end machine learning project which predicts the house prices in Bengaluru.
In this repo I have implemented a machine learning project which predicts the house price in Boston. I have covered these topics : Exploratory Data Analysis, Feature Engineering including feature scaling, transformation into normally distributed data, multicollinearity, feature selection. I have trained the dataset using Linear Regression, Ridge, Lasso, and Elastic Net Regression.
In this repo, I have implemented a simple machine learning code which predicts the price of a car.
In this repo, I have done the Data Cleaning assignment which is part of iNeuron Training Program "Machine Learning and Deep Learning Masters" .
In this repo, I have done the Data Visualization assignment which is part of iNeuron Training Program "Machine Learning and Deep Learning Masters" .
In this repo, I have done the Decision Tree assignment which is part of iNeuron Training Program "Machine Learning and Deep Learning Masters" .
In this repo, I have written a simple machine learning code which predicts whether a person has diabetes or not.
In this repo, I have done the assignment of Exception Handling in Python which is part of iNeuron Training Program "Machine Learning and Deep Learning Masters" .
Findpapers: A tool for helping researchers who are looking for related works
In this repo, I have implemented a machine learning project which predicts the price of flights. I have covered these topics : feature engineering, feature selection, hyperparameter tuning and clustering.
In this repo, I have done the Linear Regression assignment which is part of iNeuron course "Machine Learning and Deep Learning Masters" .
In this repo I have build an end to end machine learning project which predicts if the loan application will get approved or not based on informations like financial information, requested loan amount etc.
In this repo, I have done the Logistic Regression assignment which is part of iNeuron course "Machine Learning and Deep Learning Masters" .
In this repo I have uploaded all my solutions of assignments of the Machine Learning course on Coursera offered by Stanford University and teached by professor Andrew Ng.
In this repo, I have done the Matplotlib assignment which is part of iNeuron Training Program "Machine Learning and Deep Learning Masters" .
In this repo, I have done the Clustering assignment which is part of iNeuron Training Program "Machine Learning and Deep Learning Masters" .
In this repo, I have done the machine learning combined assignment which is part of iNeuron Training Program "Machine Learning and Deep Learning Masters" .
In this repo, I have done the Machine Learning project assignment which is part of iNeuron Training Program "Machine Learning and Deep Learning Masters" .