GitHub - mihika632/DS_ML: Basics of data science and machine learning (with python)

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Basics of data science and machine learning (with python)

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Name		Name	Last commit message	Last commit date
Latest commit History 4 Commits
10 K nearest Neighbour.ipynb		10 K nearest Neighbour.ipynb
11 K-Means Clustering.ipynb		11 K-Means Clustering.ipynb
12 Feature Selection-Filter.ipynb		12 Feature Selection-Filter.ipynb
13 Feature Selection-Wrapper.ipynb		13 Feature Selection-Wrapper.ipynb
14 Dimensionality Reduction.ipynb		14 Dimensionality Reduction.ipynb
15 Outlier Detection.ipynb		15 Outlier Detection.ipynb
16 Artificial NeuralNetwork.ipynb		16 Artificial NeuralNetwork.ipynb
17 Convolutional Neural Network .ipynb		17 Convolutional Neural Network .ipynb
18 Data Science Project Development.ipynb		18 Data Science Project Development.ipynb
3 MultipleRegression.ipynb		3 MultipleRegression.ipynb
4 linear functions.ipynb		4 linear functions.ipynb
5_PolynomialRegresssion.ipynb		5_PolynomialRegresssion.ipynb
6Sigmoid Function.ipynb		6Sigmoid Function.ipynb
7 Logistic Regression.ipynb		7 Logistic Regression.ipynb
8_Decision Tree .ipynb		8_Decision Tree .ipynb
9 DECISION TREE REGRESSION.ipynb		9 DECISION TREE REGRESSION.ipynb
ASSIGNMENT.ipynb		ASSIGNMENT.ipynb
Artificial Neural Network.ipynb		Artificial Neural Network.ipynb
BCH.ipynb		BCH.ipynb
BCHPROJECT.ipynb		BCHPROJECT.ipynb
D Feature_Selection.ipynb		D Feature_Selection.ipynb
DAY3.png		DAY3.png
DS_ML.zip		DS_ML.zip
Data_Cleaning.ipynb		Data_Cleaning.ipynb
Data_Science_Project_Development.ipynb		Data_Science_Project_Development.ipynb
Day-5_Session-2_Decision-tree.ipynb		Day-5_Session-2_Decision-tree.ipynb
Day1		Day1
Feature_Scaling.ipynb		Feature_Scaling.ipynb
Final Project 22510031.ipynb		Final Project 22510031.ipynb
LinearRegression.ipynb		LinearRegression.ipynb
LinearRegressionPractice.ipynb		LinearRegressionPractice.ipynb
Mall_Customers.csv		Mall_Customers.csv
Matplotlib_6Feb.ipynb		Matplotlib_6Feb.ipynb
PANDAS_day3_session1.ipynb		PANDAS_day3_session1.ipynb
PlacementPrediction.ipynb		PlacementPrediction.ipynb
Python_OOPs.ipynb		Python_OOPs.ipynb
Salary_Data.csv		Salary_Data.csv
Seaborn.ipynb		Seaborn.ipynb
Social_Media_Ads.csv		Social_Media_Ads.csv
Social_Network_Ads (1).csv		Social_Network_Ads (1).csv
Social_Network_Ads.csv		Social_Network_Ads.csv
Untitled.ipynb		Untitled.ipynb
Untitled3.ipynb		Untitled3.ipynb
Untitled4.ipynb		Untitled4.ipynb
Untitled5.ipynb		Untitled5.ipynb
bach+choral+harmony.zip		bach+choral+harmony.zip
bank.csv		bank.csv
banknotes.csv		banknotes.csv
catches_match_ration.csv		catches_match_ration.csv
cricket.csv		cricket.csv
day 1 session 2.ipynb		day 1 session 2.ipynb
day2 session1.ipynb		day2 session1.ipynb
day3_session2_numpy_arrays.ipynb		day3_session2_numpy_arrays.ipynb
grapes_new.csv		grapes_new.csv
iris.csv		iris.csv
models_timeseries.ipynb		models_timeseries.ipynb
mtcars.csv		mtcars.csv
one.csv		one.csv
output.csv		output.csv
petrol_consumption.csv		petrol_consumption.csv
python_basics.ipynb		python_basics.ipynb
python_dataStructures.ipynb		python_dataStructures.ipynb
student.xlsx		student.xlsx
student1.csv		student1.csv
student2.csv		student2.csv
student3.csv		student3.csv
student3.tsv		student3.tsv
student4.csv		student4.csv
student5.csv		student5.csv
students.json		students.json