AI & Machine Learning Learning Journey

This repository contains a collection of Jupyter Notebook (.ipynb) files created during my journey of learning Machine Learning and Artificial Intelligence. The notebooks cover various concepts, algorithms, and experiments I explored while studying, practicing, and building small projects in AI/ML.

🎯 Purpose

The primary goal of this repository is to document my learning process and share my progress as I practice and implement different AI/ML concepts.
It serves as both a personal reference and a portfolio of my work.

🙏 Acknowledgements

While creating these notebooks, I referred to and took guidance from:

GitHub Copilot – for code completion and ideas
Great Learning – Completed Post Graduate in ML and AI
Coursera - Completed IBM Data Science Professional Certificate
[University of Colorado Boulder] - Doing Masters in Data Science

⚠️ Note

These notebooks are learning exercises and may contain experimental code, partial implementations, or simplified examples.
They are not production-ready solutions.

📜 License

This repository is shared for educational purposes.
You are welcome to view, use, and adapt the code for learning!

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AI & Machine Learning Learning Journey

🎯 Purpose

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📜 License

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Name		Name	Last commit message	Last commit date
Latest commit History 126 Commits
BasicPackages		BasicPackages
Certificates		Certificates
ComputerVision		ComputerVision
data		data
python		python
01_Basic_EDA_mtcars.ipynb		01_Basic_EDA_mtcars.ipynb
02_case_study_MovieLens.ipynb		02_case_study_MovieLens.ipynb
03_Visualization_and_EDA.ipynb		03_Visualization_and_EDA.ipynb
04_visualization_tips_case_study.ipynb		04_visualization_tips_case_study.ipynb
05_Visualization_Honey_Production_Case_Study.ipynb		05_Visualization_Honey_Production_Case_Study.ipynb
06_melborne_house_ExploratoryDataAnalysis.ipynb		06_melborne_house_ExploratoryDataAnalysis.ipynb
07_eda_play_store.ipynb		07_eda_play_store.ipynb
08_regular expressions.ipynb		08_regular expressions.ipynb
09_eda_uber_case_study.ipynb		09_eda_uber_case_study.ipynb
10_CardioGoodFitness_final_EDA.ipynb		10_CardioGoodFitness_final_EDA.ipynb
11_LinearRegression.ipynb		11_LinearRegression.ipynb
12_LinearRegression_boston.ipynb		12_LinearRegression_boston.ipynb
13_LR_AnimeRatingPrediction.ipynb		13_LR_AnimeRatingPrediction.ipynb
14_FIFA_2019_data_preprocessing.ipynb		14_FIFA_2019_data_preprocessing.ipynb
15_Linear_Regression_LaptopPrices.ipynb		15_Linear_Regression_LaptopPrices.ipynb
16_used_cars_data_linear_regression.ipynb		16_used_cars_data_linear_regression.ipynb
17_LogisticRegressionDiabetes.ipynb		17_LogisticRegressionDiabetes.ipynb
18_LogisticRegressionClassificationGermanCreditRisk.ipynb		18_LogisticRegressionClassificationGermanCreditRisk.ipynb
19_LogisticRegressionClassificationWHO.ipynb		19_LogisticRegressionClassificationWHO.ipynb
20_DecisionTree_credit.ipynb		20_DecisionTree_credit.ipynb
21_Decision_Tree_Loan_Delinquent.ipynb		21_Decision_Tree_Loan_Delinquent.ipynb
22_Altair_Introduction.ipynb		22_Altair_Introduction.ipynb
23_Proj_3_DecisionTree_Loan_Classification.ipynb		23_Proj_3_DecisionTree_Loan_Classification.ipynb
24_Ensemble_Bagging_RandomForest.ipynb		24_Ensemble_Bagging_RandomForest.ipynb
25_Bagging_DiabetesRisk_Prediction.ipynb		25_Bagging_DiabetesRisk_Prediction.ipynb
26_Classification_Ensemble_HR_Attrition.ipynb		26_Classification_Ensemble_HR_Attrition.ipynb
27_Ensemble_Boosting_credit.ipynb		27_Ensemble_Boosting_credit.ipynb
28_Boosting_WineQuality_Prediction.ipynb		28_Boosting_WineQuality_Prediction.ipynb
29_Ensemble_DT_Bagging_Boosting_bike_sharing.ipynb		29_Ensemble_DT_Bagging_Boosting_bike_sharing.ipynb
30_Ensemble_project_tourism.ipynb		30_Ensemble_project_tourism.ipynb
35_project_5_bank_churners_proj_v1.ipynb		35_project_5_bank_churners_proj_v1.ipynb
36_K-Means.ipynb		36_K-Means.ipynb
37_KMeans_ProductSegmentation.ipynb		37_KMeans_ProductSegmentation.ipynb
38_Hierarchical_Clustering_ProductSegmentation.ipynb		38_Hierarchical_Clustering_ProductSegmentation.ipynb
39_Principal_Component_Analysis.ipynb		39_Principal_Component_Analysis.ipynb
40_tSNE_PCA.ipynb		40_tSNE_PCA.ipynb
41_Clustering_TourismServices.ipynb		41_Clustering_TourismServices.ipynb
42_project_6_clustering_credit_card_customer.ipynb		42_project_6_clustering_credit_card_customer.ipynb
43_Neural_Network_MNIST.ipynb		43_Neural_Network_MNIST.ipynb
44_Predicting_Chances_of_Admission_Neural_Network.ipynb		44_Predicting_Chances_of_Admission_Neural_Network.ipynb
45_DNN_Fraud_detection.ipynb		45_DNN_Fraud_detection.ipynb
46_DNN_Flight_Price.ipynb		46_DNN_Flight_Price.ipynb
47_project_7_bank_churn_prediction_neural_network_v1.0.ipynb		47_project_7_bank_churn_prediction_neural_network_v1.0.ipynb
README.md		README.md
requirements.txt		requirements.txt

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AI & Machine Learning Learning Journey

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