Machine Learning Bootcam: Hand-On Python in Data Science
Learn Complete hands-on guide to implementing Supervised Machine Learning Algorithm in Python including ANN, CNN & RNN
3.80 (22 reviews)
2,940
students
18 hours
content
Jan 2024
last update
$19.99
regular price
What you will learn
Basics of Python (Introduction to Spyder & Jupyter Notebook)
Numpy (•Introduction to the Library •Nd-array Object •Data Types •Array Attributes •Indexing and Slicing •Array Manipulation)
Pandas (Introduction to the Library •Series Data Structures •Pandas Data Frame •Pandas Basic Functionality •Crash Course – Data Visualization & ScikitLearn)
Tensorflow (•Introduction to the Library •Basic Syntax •Tensorflow Graphs •Variable Place Holders •Neural Network •Tensorboard)
Seaborn (•Distribution Plots •Categorical Plots •Regression Plots •Style and Color)
Plotly and Cufflinks
Regression (• Simple Linear Regression •Multiple Linear Regression •Polynomial Regression •Support Vector Regression • Decision Tree & Forest Regression
Classification (•Logistic Regression •K-Nearest Neighbors • Support Vector Machine •Kernel SVM •Naïve Bayes •Decision Tree Classification •Random Forest)
Deep Learning (•Artificial Neural Networks •Convolutional Neural Networks •Recurrent Neural Networks)
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Related Topics
2756120
udemy ID
1/13/2020
course created date
4/23/2020
course indexed date
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