Machine_Learning_Course_

This is My All lecture practice and task here only from the lecture data not form the project data or anything else

Name		Name	Last commit message	Last commit date
Latest commit History 34 Commits
.vscode		.vscode
Dataset		Dataset
.gitignore		.gitignore
All Graphs.py		All Graphs.py
Data Preprocessing-With my dataset.py		Data Preprocessing-With my dataset.py
Data Preprocessing.py		Data Preprocessing.py
DecisionTreeClassifier.py		DecisionTreeClassifier.py
Desion treee.py		Desion treee.py
Language Detection.csv		Language Detection.csv
Language Detection.py		Language Detection.py
Linear Regration.py		Linear Regration.py
MultiClass Logastic Regration.py		MultiClass Logastic Regration.py
Polynomial regration.py		Polynomial regration.py
README.md		README.md
Rendom Forest Alogo.py		Rendom Forest Alogo.py
SVC.py		SVC.py
Testing.py		Testing.py
Top 10 Meahine learning alogorithum.py		Top 10 Meahine learning alogorithum.py
Topics.txt		Topics.txt
Train testing.py		Train testing.py
cla.py		cla.py
from gtts import gTTS.py		from gtts import gTTS.py
image-classification-people-food-DFE.csv		image-classification-people-food-DFE.csv
import numpy as np.py		import numpy as np.py
knn.py		knn.py
logistic regression,.py		logistic regression,.py
machine learning (2).pdf		machine learning (2).pdf
naive_bayes.py		naive_bayes.py
output.mp3		output.mp3

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