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
A great sense of curiosity!
Learn Python for Data Science,NumPy,Pandas,Matplotlib,Seaborn,Scikit-learn, Dask,LightGBM,XGBoost,CatBoost and much more
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
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
People who would like to get started with data science without any prior knowledge
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