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set of projects using different classical machine learning (classification / regression) method (using scikit learn)

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Name		Name	Last commit message	Last commit date
Latest commit History 17 Commits
Classification		Classification
Regression		Regression
.gitattributes		.gitattributes
.gitignore		.gitignore
README.md		README.md

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Machine Learning Projects

Some example of ML projects using dataset from UCI https://archive.ics.uci.edu/ml/datasets.php and Kaggle

Using Pandas / Numpy / SciKit Learn / (Keras)

Regression:
- Airfoil Self-Noise (1503x5 - 1 output):
  - Tags: Exploration / Correlation matrix / StandardScaler / Random Forest / Grid Search
- Combined Cycle Power Plant (9568x4 - 1 output) :
  - Tags: Exploration / Correlation matrix / StandardScaler / Random Forest / Grid Search
- Concrete Compressive Strength (1030x8 - 1 output):
  - Tags: Exploration / Linear regression / KNN / MLP
- Californian house values (20640x9 - 1 output)
  - from excellent book "Hands-on with machine learning 2nd Edition - A.Geron". Notebook can be found here
  - Tags: Exploration / Vizualization / Correlation matrix / Imputer / OrdinalEncoder / OneHotEncoder / Pipeline / StandardScaler / ColumnTransformer / LinearRegression / DecisionTree / RandomForest / SVM / Grid Search / RandomizedSearchCV
Classification:
- Ttianic dataset (the famous one...)
  - Tags: Exploration / LabelEncoder / StandardScaler / SVM / grid search
- Glass Identification (214x8 - 7classes)
  - Tags: Exploration / Correlation matrix / StandardScaler / Random Forest / Confusion Matrix (std & normalized)
- Wine Quality / Color (6497x12 - 2classes)
  - Tags: Exploration / Correlation matrix / StandardScaler / KNN / Confusion Matrix
- Fingers (https://www.kaggle.com/koryakinp/fingers)
  - Tags: Exploration / Image manipulation / PCA / LabelEncoder / SGD / Confusion Matrix (std & normalized) / MLP / Keras ANN