GitHub - dakshverma2411/machine_learning: This repository contains codes of machine learinnig and deep learning from scratch

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This repository contains codes of machine learinnig and deep learning from scratch

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Name		Name	Last commit message	Last commit date
Latest commit History 1 Commit
02-Linear Regression Project.ipynb		02-Linear Regression Project.ipynb
02-Logistic Regression Project.ipynb		02-Logistic Regression Project.ipynb
04-Advanced Matplotlib Concepts.ipynb		04-Advanced Matplotlib Concepts.ipynb
Bengaluru_House_Data.csv		Bengaluru_House_Data.csv
COVID19_line_list_data.csv		COVID19_line_list_data.csv
Logistic_Regression_with_a_Neural_Network_mindset_v6a.ipynb		Logistic_Regression_with_a_Neural_Network_mindset_v6a.ipynb
NN_with_np.ipynb		NN_with_np.ipynb
SF_salaries.ipynb		SF_salaries.ipynb
Untitled.ipynb		Untitled.ipynb
Untitled1.ipynb		Untitled1.ipynb
Untitled2.ipynb		Untitled2.ipynb
Untitled3.ipynb		Untitled3.ipynb
Untitled4.ipynb		Untitled4.ipynb
Untitled5.ipynb		Untitled5.ipynb
Untitled6.ipynb		Untitled6.ipynb
bengaluru_condition_based.ipynb		bengaluru_condition_based.ipynb
covid19 india.ipynb		covid19 india.ipynb
covid_19_data.csv		covid_19_data.csv
data_input_output.ipynb		data_input_output.ipynb
dataframes.ipynb		dataframes.ipynb
deep_learning_logistic_regression.ipynb		deep_learning_logistic_regression.ipynb
deeplearning neural network.ipynb		deeplearning neural network.ipynb
dependency of different factors.ipynb		dependency of different factors.ipynb
glob.ipynb		glob.ipynb
gradient_descent.ipynb		gradient_descent.ipynb
graph.png		graph.png
graph_housing.png		graph_housing.png
groupby.ipynb		groupby.ipynb
house_price.ipynb		house_price.ipynb
house_price_gradient_descent.ipynb		house_price_gradient_descent.ipynb
house_price_model.ipynb		house_price_model.ipynb
iris flower detection.ipynb		iris flower detection.ipynb
k-means clustering.ipynb		k-means clustering.ipynb
logistic regression project.ipynb		logistic regression project.ipynb
logistic regression.ipynb		logistic regression.ipynb
logistic_regression_2.ipynb		logistic_regression_2.ipynb
matplotlib concepts lecture.ipynb		matplotlib concepts lecture.ipynb
matplotlib part 2.ipynb		matplotlib part 2.ipynb
matplotlib part 3.ipynb		matplotlib part 3.ipynb
mini_batch.ipynb		mini_batch.ipynb
missing data.ipynb		missing data.ipynb
netflix_data.ipynb		netflix_data.ipynb
neural network first.ipynb		neural network first.ipynb
numpy practice.ipynb		numpy practice.ipynb
operations_on_pandas.ipynb		operations_on_pandas.ipynb
os module.ipynb		os module.ipynb
pandas1.ipynb		pandas1.ipynb
pandas_Series.ipynb		pandas_Series.ipynb
pandas_dataframes.ipynb		pandas_dataframes.ipynb
practice.ipynb		practice.ipynb
scikit.ipynb		scikit.ipynb
seaborn.ipynb		seaborn.ipynb
test.csv		test.csv
titanic data.ipynb		titanic data.ipynb
titanic.ipynb		titanic.ipynb
train.csv		train.csv
try.ipynb		try.ipynb