Machine-Learning

01- Introductory-Machine-Learning

In this tutorial:

• Mathematics and study statistics, and how to calculate important numbers based on data set

Reference site: w3schools

03- KNN Classifier

• Implementation of KNeighbors Classifier

• Evaluating model using Normalized random data

04- OCR of Hand-written using KNN

• Building a basic OCR (Optical Character Recognition) application algorithm using KNeighbors Classifier

• Evaluating model using Hand-written Digits related to Mnist numbers

Reference sites: opencv

Mnist, Hand-written numbers image: Mnist numbers

05- KNN on Iris Dataset

• Apply Knn classifier with different values of k on Iris Dataset and plot test accuracy

• Calculate and plot Confusion Matrix for predicted values with k = 5

06- Adaline Regression

• Adaline on random generated data for weight and height of humans

• linregress of scipy package - plot slope

07- Adaline Classification

• Adaline on random generated data for hair length of men and women

08- AdalineRegressor on Boston Dataset

09- AdalineClassifier on Iris

• Select two classes of Iris Dataset and Apply Adaline Classifier

• Calculate accuracy

• Comparison accuracy of Adaline Classifier with KNN on Select classes

10- Perceptron-Classification

• Implementation of perceptron class, evaluate and predict function

• Perceptron-Classification on linear data

11- Perceptron-Regression

• Implementation of perceptron class, evaluate and predict function

• Preprocessing data using pandas library

• Perceptron-Regression on weatherHistory dataset

12-1 MLP on Titanic Dataset

• MLP on Titanic Dataset, sequential model - tensorflow and keras

• 12-2, 12-3, 12-4: Comparison accuracy of MLP with KNN, Adaline and perceptron on Titanic Dataset

• Result:

MLP accuracy = 96%

Knn accuracy = 65%

Adaline accuracy = 86%

perceptron accuracy = 34%

• Dataset link: titanic

13-MLP on House Prices Dataset

• Result on wandb: MLP-HousePrices

• Dataset link: house-prices

14- WeatherPrediction_Regression

• Train Neural Network on weather-dataset using tensorflow and keras

Dataset:

Dataset link: weather-dataset

• Loss on test data: 3.0455

15- learning-rate-schedules

Learning Rate schedules in Practice