machine_learning_practices

These exercises are based on "Python for Data Science and Machine Learning Bootcamp" course on udemy.

Name		Name	Last commit message	Last commit date
Latest commit History 3 Commits
.gitignore		.gitignore
01-911 Calls Data Capstone Project.ipynb		01-911 Calls Data Capstone Project.ipynb
02-Choropleth Maps Exercise.ipynb		02-Choropleth Maps Exercise.ipynb
02-Decision Trees and Random Forest Project.ipynb		02-Decision Trees and Random Forest Project.ipynb
02-K Means Clustering Project.ipynb		02-K Means Clustering Project.ipynb
02-K Nearest Neighbors Project.ipynb		02-K Nearest Neighbors Project.ipynb
02-Linear Regression Project.ipynb		02-Linear Regression Project.ipynb
02-Logistic Regression Project.ipynb		02-Logistic Regression Project.ipynb
02-Matplotlib Exercises.ipynb		02-Matplotlib Exercises.ipynb
02-NLP Project.ipynb		02-NLP Project.ipynb
02-Pandas Data Visualization Exercise.ipynb		02-Pandas Data Visualization Exercise.ipynb
02-Python Crash Course Exercises.ipynb		02-Python Crash Course Exercises.ipynb
02-Support Vector Machines Project.ipynb		02-Support Vector Machines Project.ipynb
03-Ecommerce Purchases Exercise .ipynb		03-Ecommerce Purchases Exercise .ipynb
03-Keras-Project-Exercise.ipynb		03-Keras-Project-Exercise.ipynb
04-Numpy Exercises.ipynb		04-Numpy Exercises.ipynb
07-Seaborn Exercises.ipynb		07-Seaborn Exercises.ipynb
README.md		README.md
k_means.ipynb		k_means.ipynb
knn.ipynb		knn.ipynb
libraries_practice.ipynb		libraries_practice.ipynb
logistic_regression.ipynb		logistic_regression.ipynb
ml.ipynb		ml.ipynb
nlp.ipynb		nlp.ipynb
pca.ipynb		pca.ipynb
random_forest.ipynb		random_forest.ipynb
recommender.ipynb		recommender.ipynb
spark.ipynb		spark.ipynb
svm.ipynb		svm.ipynb
tensorboard.ipynb		tensorboard.ipynb
tf_classification.ipynb		tf_classification.ipynb
tf_regression.ipynb		tf_regression.ipynb
titanic.ipynb		titanic.ipynb
visualization.ipynb		visualization.ipynb

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