Data Science: Supervised Machine Learning Bootcamp in Python

Category: Tutorial


Posted on 2020-05-31, by 0nelovee.

Description

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Data Science: Supervised Machine Learning Bootcamp in Python
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + .srt | Duration: 86 lectures (17 hour, 45 mins) | Size: 6.95 GB


Complete hands-on guide to implementing Machine Learning Algorithm in Python including ANN, CNN & RNN
What you'll 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 • Crash Course - 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 Regression • Random 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)

Requirements

Basic Knowledge of any programming language
Passion for learning

Description

Download
https://rapidgator.net/file/a9d90d78838852651a3fc0634c1e88e1/Data_Science_Supervised_Machine_Learning_Bootcamp_in_Python.part1.rar
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