MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch

Genre: eLearning | Language: English + .srt | Duration: 144 lectures (4h 54m) | Size: 2.2 GB

Learn Python for Data Science,NumPy,Pandas,Matplotlib,Seaborn,Scikit-learn, Dask,LightGBM,XGBoost,CatBoost and much more

What you'll learn:

Python for Data Science

The Data Science Process

NumPy for Numerical Computation

Pandas for Data Manipulation

Matplotlib for Visualization

Seaborn for Beautiful Visuals

Plotly for Interactive Visuals

Introduction to Machine Learning

Dask for Big Data

LightGBM

XGBoost

CatBoost

Linear Regression

Logistic Regression

Decision Trees

Random Forest

Requirements

A great sense of curiosity!

Description

In this course, you'll learn how to get started in data science. You don't need any prior knowledge in programming. We'll teach you the Python basics you need to get started. Here are the items we'll cover in this course

The Data Science Process

Python for Data Science

NumPy for Numerical Computation

Pandas for Data Manipulation

Matplotlib for Visualization

Seaborn for Beautiful Visuals

Plotly for Interactive Visuals

Introduction to Machine Learning

Dask for Big Data

Deep Learning & Next Steps

For the machine learning section here are some items we'll cover :

How Algorithms Work

Advantages & Disadvantages of Various Algorithms

Feature Importances

Metrics

Cross-Validation

Fighting Overfitting

Hyperparameter Tuning

Handling Imbalanced Data

Who this course is for

People who would like to get started with data science without any prior knowledge