Machine-Learning-101

Machine Learning 101 aims to share the concepts I've learned throughout my machine learning journey.

Name		Name	Last commit message	Last commit date
Latest commit History 40 Commits
.ipynb_checkpoints		.ipynb_checkpoints
Adult Census Income Prediction		Adult Census Income Prediction
Airflow		Airflow
Cloud		Cloud
DVC		DVC
Decision Tree		Decision Tree
DeepLearning		DeepLearning
Deployment Steps		Deployment Steps
Docker Tutorial		Docker Tutorial
EncodingTechniques		EncodingTechniques
Ensemble Learning/Bagging		Ensemble Learning/Bagging
Flask		Flask
Handling Missing Values		Handling Missing Values
KNN		KNN
Linear Regression		Linear Regression
Logistic Regression		Logistic Regression
ML Pipeline		ML Pipeline
MLflow		MLflow
Machine Learning Interview Questions		Machine Learning Interview Questions
NLP		NLP
Outliers		Outliers
PCA		PCA
Python		Python
RandomForest		RandomForest
Statistics		Statistics
Support Vector Machine		Support Vector Machine
Time Series Forecasting		Time Series Forecasting
Unsupervised Learning		Unsupervised Learning
.dvcignore		.dvcignore
Column Transformer.ipynb		Column Transformer.ipynb
DVC_Commands.txt		DVC_Commands.txt
ML_Model_Usecases.md		ML_Model_Usecases.md
Naive Bayes.ipynb		Naive Bayes.ipynb
Numpy, Pandas, Seaborn and Matplotlib Cheatsheet.md		Numpy, Pandas, Seaborn and Matplotlib Cheatsheet.md
README.md		README.md
winequality-red.zip		winequality-red.zip

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