Machine Learning Course Tasks

Lab Number	Task Type	Datasets	File Name
1	Data Manipulation	`#`	`Lab 1 - Introduction to Python`
2	Exploring and Visualizing Data	`Car Price Dataset`	`Lab 2 - Car Price Dataset`
4	Classification and Regression using KNN	`Iris Dataset` and `House Prices Dataset`	`Lab 4 - Iris and House Prices Datasets`
6	Logistic Regression	`Heart Attack Dataset`	`Lab 6 - Heart Attack Dataset`
8	Decision Tree and KNN	`Adult Dataset` and `Fish Market Dataset`	`Lab 8 - Adult and Fish Market Datasets`
9	Hyperparameter Tuning: RF and LGBM	`Vehicles Dataset V3`	`Lab 4 - Iris and House Prices Datasets`
10	Hyperparameter Tuning: SVM and Naive Bayes	`Vehicles Dataset V3`	`Lab 10 - Amazon Fine Food Reviews and SMS Spam Collection Datasets`

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Name		Name	Last commit message	Last commit date
Latest commit History 45 Commits
Datasets		Datasets
.gitattributes		.gitattributes
House prices advanced regression techniques.ipynb		House prices advanced regression techniques.ipynb
Lab 1 - Introduction to Python.ipynb		Lab 1 - Introduction to Python.ipynb
Lab 10 - SVM and Naive Bayes.ipynb		Lab 10 - SVM and Naive Bayes.ipynb
Lab 2 - Car Price Dataset.ipynb		Lab 2 - Car Price Dataset.ipynb
Lab 4 - Iris and House Prices Datasets.ipynb		Lab 4 - Iris and House Prices Datasets.ipynb
Lab 6 - Heart Attack Dataset.ipynb		Lab 6 - Heart Attack Dataset.ipynb
Lab 8 - Adult and Fish Market Datasets.ipynb		Lab 8 - Adult and Fish Market Datasets.ipynb
Lab 9 - Vehicles Dataset.ipynb		Lab 9 - Vehicles Dataset.ipynb
Project 1 - Fraud Detection in Electricity and Gas Consumption.ipynb		Project 1 - Fraud Detection in Electricity and Gas Consumption.ipynb
Project 1 - Presentation.pdf		Project 1 - Presentation.pdf
Project 1 - Report.pdf		Project 1 - Report.pdf
README.md		README.md