Repository Overview: Machine_Learning_Roadmap 🚀
Welcome to the Machine_Learning_Roadmap repository! This collection of Jupyter notebooks covers a broad range of machine learning and data science techniques.
Latest Commit 🆕
Author: snehvora
Commit Message: Add files via upload
Date: 2023
Repository Contents 📁
Data Files & Visuals:
1.backward-elimination-in-machine-learning2.png 🖼️ (2022)
2.random-forest-algorithm.png 🖼️ (2022)
Notebooks:
Basic Algorithms & Techniques:
1. classifier.ipynb 📈 (2022)
2. backward_elimination.ipynb 📉 (2022)
3. KNN_Algo.ipynb 🤖 (2022)
4. SVM_Algo.ipynb 🤖 (2022)
5. Naive_Bayes_Algo.ipynb 🤔 (2022)
6. Decision_tree_Algo.ipynb 🌳 (2022)
7. Random_forest_Algo.ipynb 🌲 (2022)
8. Clustering.ipynb 🔍 (2022)
9. Hierarchical_Clustering.ipynb 🏗️ (2022)
10. K_means_Algo.ipynb 📊 (2022)
11. Apriori_Algorithm(groceries - groceries.csv).ipynb 🛒 (2022)
12. Association_Rule_Learning.ipynb 🧩 (2022)
13. Cross-Validation_in_Machine_Learning.ipynb 🔄 (2022)
Advanced Algorithms & Models:
1. ANN_Regression.ipynb 🧠 (2023)
2. CNN.ipynb 🖼️ (2023)
3. CNN_cifar10.ipynb 🖼️ (2023)
4. GANs.ipynb 🎨 (2023)
5. RNN_forecasting.ipynb 📈 (2023)
6. RecommenderSystem.ipynb 📚 (2023)
7. StockReturn.ipynb 📉 (2023)
Specialized Topics:
1. NLP_spam_detector.ipynb 📧 (2023)
2. DataVisualization.ipynb 📊 (2023)
3. Groupby.ipynb 🧑🤝🧑 (last year)
4. linear_regression.ipynb 📉 (2023)
5. mnist.ipynb ✏️ (2023)
6. numpy.ipynb 🔢 (2023)
7. pandas.ipynb 🐼 (2023)
Documentation:
README.md 📜 (Initial commit, 2022)