GitHub - arghac14/ML_journey: A repository covering all my work on various topics and algorithms while learning Data Science, Machine Learning and Deep Learning.

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A repository covering all my work on various topics and algorithms while learning Data Science, Machine Learning and Deep Learning.

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Name		Name	Last commit message	Last commit date
Latest commit History 66 Commits
DL		DL
Data Science		Data Science
ML		ML
README.md		README.md

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Data analysis:

Numpy

Pandas

Matplotlib

Seaborn

Machine Learning Algorithms:

1. Regression:

Linear Regression-
Logistic Regression-
- Logistic Regression(sklearn)

2. Classification:

K Nearest Neighbours-
- KNN(from scratch)
- KNN(sklearn)
Decision Tree-
- Decision Tree(sklearn)
Random Forest-
- Random Forest(sklearn)
Naive Bayes-
- Naive Bayes(sklearn)
Support Vector Machine(SVM)-
- SVM(sklearn)
Ensemble Learning
- Voting classifier, Bagging, OOB evaluation(sklearn)

3. Clustering:

Kmeans-
- Kmeans(from scratch)
- Kmeans(sklearn)
Kmodes and Kprototypes-
- Kmodes
- Kprototypes

4. Association Rule Mining:

Implementation of Apriori algorithm for association rule mining

Deep Learning: