GitHub - edyoda/machine-learning-for-beginners: Start writing machine learning code in just 10 hours

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Name		Name	Last commit message	Last commit date
Latest commit History 116 Commits
.ipynb_checkpoints		.ipynb_checkpoints
data		data
.gitignore		.gitignore
05.05-Naive-Bayes.ipynb		05.05-Naive-Bayes.ipynb
1. Getting Ready - Brief Introduction to NumPy, Pandas & Matplotlib.ipynb		1. Getting Ready - Brief Introduction to NumPy, Pandas & Matplotlib.ipynb
1. NumPy - Creation, Concatination.ipynb		1. NumPy - Creation, Concatination.ipynb
2. Feature Selection.ipynb		2. Feature Selection.ipynb
2. Introduction to Machine Learning & scikit-learn.ipynb		2. Introduction to Machine Learning & scikit-learn.ipynb
2018-05-28-PHOTO-00000003.jpg		2018-05-28-PHOTO-00000003.jpg
3. Preprocessing using scikit-learn.ipynb		3. Preprocessing using scikit-learn.ipynb
4. Linear Regression - Introduction.ipynb		4. Linear Regression - Introduction.ipynb
4. Linear Regression - Multivariate.ipynb		4. Linear Regression - Multivariate.ipynb
4. Linear Regression - Regularization.ipynb		4. Linear Regression - Regularization.ipynb
5. Classification - Logistic Regression .ipynb		5. Classification - Logistic Regression .ipynb
5. Classification+Techniques.ipynb		5. Classification+Techniques.ipynb
5. Decision Trees Regression & Classification.ipynb		5. Decision Trees Regression & Classification.ipynb
5. Naive Bayes & Text Classification.ipynb		5. Naive Bayes & Text Classification.ipynb
6. Nearest Neighbors.ipynb		6. Nearest Neighbors.ipynb
7. Unsupervised Machine Learning.ipynb		7. Unsupervised Machine Learning.ipynb
Adult Data Analysis.ipynb		Adult Data Analysis.ipynb
Amazon Food Review data Rating Prediction.ipynb		Amazon Food Review data Rating Prediction.ipynb
Amazon Food Reviews - Rating Prediction.ipynb		Amazon Food Reviews - Rating Prediction.ipynb
Amazon Food Reviews Sentiment Classifier.ipynb		Amazon Food Reviews Sentiment Classifier.ipynb
Analysis of Company Data - West Bengal.ipynb		Analysis of Company Data - West Bengal.ipynb
Churn Data.ipynb		Churn Data.ipynb
Churn Prediction.ipynb		Churn Prediction.ipynb
Classification - Logistic Regression.ipynb		Classification - Logistic Regression.ipynb
Classification Techniques - Logistic Regression, Decision Trees, Naive Bayes.ipynb		Classification Techniques - Logistic Regression, Decision Trees, Naive Bayes.ipynb
Classification techniques - Logistic Regression.ipynb		Classification techniques - Logistic Regression.ipynb
Clustering DBSCAN.ipynb		Clustering DBSCAN.ipynb
Clustering Hierarchical Merging.ipynb		Clustering Hierarchical Merging.ipynb
Clustering Meanshift.ipynb		Clustering Meanshift.ipynb
College Training.ipynb		College Training.ipynb
Complete Pipeline FeatureUnion.ipynb		Complete Pipeline FeatureUnion.ipynb
Cost.jpg		Cost.jpg
Credit Risk.ipynb		Credit Risk.ipynb
Data Analysis on Employee Data.ipynb		Data Analysis on Employee Data.ipynb
Decision Tree - Classification & Regression.ipynb		Decision Tree - Classification & Regression.ipynb
Decision Tree - MNIST.ipynb		Decision Tree - MNIST.ipynb
Decision Trees.ipynb		Decision Trees.ipynb
Diabetes Data - Unsupervised.ipynb		Diabetes Data - Unsupervised.ipynb
Dog Breed Classification.ipynb		Dog Breed Classification.ipynb
Duplicates & Drop duplicates.ipynb		Duplicates & Drop duplicates.ipynb
Emp Data Visualization.ipynb		Emp Data Visualization.ipynb
Emp Data.ipynb		Emp Data.ipynb
Ensemble Methods - Boosting Techniques .ipynb		Ensemble Methods - Boosting Techniques .ipynb
Ensemble Methods.ipynb		Ensemble Methods.ipynb
Ensemble Technique - Voting Classifier.ipynb		Ensemble Technique - Voting Classifier.ipynb
Ensemble Techniques - Random Forest-GridSearch.ipynb		Ensemble Techniques - Random Forest-GridSearch.ipynb
Ensemble Techniques - Random Forest.ipynb		Ensemble Techniques - Random Forest.ipynb
Essential NumPy for Data Science.ipynb		Essential NumPy for Data Science.ipynb
Essential NumPy for DataScience.ipynb		Essential NumPy for DataScience.ipynb
Evaluate Classifiers.ipynb		Evaluate Classifiers.ipynb
Feature Extraction and Preprocessing.ipynb		Feature Extraction and Preprocessing.ipynb
Feature Selection Techniques - Dimensionality Reduction.ipynb		Feature Selection Techniques - Dimensionality Reduction.ipynb
Feature Selection.ipynb		Feature Selection.ipynb
Feature Seletion.ipynb		Feature Seletion.ipynb
Feature Union And PCA.ipynb		Feature Union And PCA.ipynb
Feature Union with Heterogeneous Data Sources.ipynb		Feature Union with Heterogeneous Data Sources.ipynb
FeatureUnion Example.ipynb		FeatureUnion Example.ipynb
GE1.1 Linear Regression.ipynb		GE1.1 Linear Regression.ipynb
GE1.2 LR & Preprocessing.ipynb		GE1.2 LR & Preprocessing.ipynb
GE1.3 Understanding Pipeline & DataFrameMapper.ipynb		GE1.3 Understanding Pipeline & DataFrameMapper.ipynb
GE2.1 Logistic Regression.ipynb		GE2.1 Logistic Regression.ipynb
GE2.2 Regression.ipynb		GE2.2 Regression.ipynb
GE2.3 Handling Imbalanced Classes & GridSearch.ipynb		GE2.3 Handling Imbalanced Classes & GridSearch.ipynb
GE2.4 GridSearch.ipynb		GE2.4 GridSearch.ipynb
GE2.5 Decision Tree.ipynb		GE2.5 Decision Tree.ipynb
GE2.6 Customer Churn Prediction.ipynb		GE2.6 Customer Churn Prediction.ipynb
GE2.7 Voting Classifier.ipynb		GE2.7 Voting Classifier.ipynb
GE3.3 Other clustering Methods.ipynb		GE3.3 Other clustering Methods.ipynb
GE3.5 Support Vector Machines.ipynb		GE3.5 Support Vector Machines.ipynb
GE3.6 MNIST.ipynb		GE3.6 MNIST.ipynb
GroupBy & Rolling.ipynb		GroupBy & Rolling.ipynb
HR_comma_sep.csv		HR_comma_sep.csv
House Price Prediction.ipynb		House Price Prediction.ipynb
House+Price+Prediction+using+Regression+Techniques.ipynb		House+Price+Prediction+using+Regression+Techniques.ipynb
Hyperparameter Tuning using GridSearch.ipynb		Hyperparameter Tuning using GridSearch.ipynb
Image Augmentation.ipynb		Image Augmentation.ipynb
Image Compression using KMeans.ipynb		Image Compression using KMeans.ipynb
Impetus Day 5 Multivariate Linear Regression.ipynb		Impetus Day 5 Multivariate Linear Regression.ipynb
Impetus Day 5 Pipeline & GridSearch.ipynb		Impetus Day 5 Pipeline & GridSearch.ipynb
Impetus Day 6 Churn Prediction.ipynb		Impetus Day 6 Churn Prediction.ipynb
Impetus Day 7 Emp Data Analysis.ipynb		Impetus Day 7 Emp Data Analysis.ipynb
Impetus Day 7 KMeans.ipynb		Impetus Day 7 KMeans.ipynb
Impetus Day 7 Nearest Neighbors.ipynb		Impetus Day 7 Nearest Neighbors.ipynb
Impetus Day 7 PCA.ipynb		Impetus Day 7 PCA.ipynb
Impetus Day4.ipynb		Impetus Day4.ipynb
Introduction to Data Science & Machine Learning -1.ipynb		Introduction to Data Science & Machine Learning -1.ipynb
Introduction to Data Science.ipynb		Introduction to Data Science.ipynb
KDD99 Network Data .ipynb		KDD99 Network Data .ipynb
KMeans.ipynb		KMeans.ipynb
LR2.png.jpg		LR2.png.jpg
Linear Regression .ipynb		Linear Regression .ipynb
Linear Regression 2.ipynb		Linear Regression 2.ipynb
Linear Regression Practice 1.ipynb		Linear Regression Practice 1.ipynb
Linear Regression Practice.ipynb		Linear Regression Practice.ipynb
Linear Regression for Multivariate & Decision Making.ipynb		Linear Regression for Multivariate & Decision Making.ipynb
Linear Regression.ipynb		Linear Regression.ipynb
MF 1.1 NumPy.ipynb		MF 1.1 NumPy.ipynb

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