Python Programming with Machine Learning & Deep Learning
Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 44100 Hz, 2ch | Size: 426 MB
Genre: eLearning Video | Duration: 13 lectures (1 hour, 27 mins) | Language: English
Learn Python like a Professional! Complete hands-on Machine learning with Pandas, Numpy and more
Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 44100 Hz, 2ch | Size: 426 MB
Genre: eLearning Video | Duration: 13 lectures (1 hour, 27 mins) | Language: English
Learn Python like a Professional! Complete hands-on Machine learning with Pandas, Numpy and more
What you'll learn
Learn to use Python professionally, learning both Python 2 and Python 3!
Learn advanced Python features
Understand how to use both the Jupyter Notebook
Build a complete understanding of Python from the ground up!
Learn Python Libraries like Numpy, Pandas, Scikit Learn, Scipy and Seaborn
Make predictions using linear regression, polynomial regression, and multivariate regression
Data Visualization with MatPlotLib and Seaborn
Data wrangling
Classify images, data, and sentiments using deep learning
Requirements
Access to a computer with an internet connection.
Description
Become a Python Programmer and learn one of employer's most requested skills of 2020!
This is the most comprehensive, yet straight-forward, course for the Python programming language on Udemy! Whether you have never programmed before, already know basic syntax, or want to learn about the advanced features of Python, this course is for you! In this course we will teach you Python 3.This course will teach you Python in a practical manner, with every lecture comes a full coding screencast.
We cover a wide variety of topics, including:
Installing Python
Running Python Code
Strings
Lists
Dictionaries
Tuples
Sets
Number Data Types
Functions
Debugging and Error Handling
Deep Learning / Neural Networks (MLP's, CNN's, RNN's) with TensorFlow and Keras
Data Visualization in Python with MatPlotLib and Seaborn
Image recognition and classification
Regression analysis
K-Means Clustering
Train/Test and cross validation
Multiple Regression
Support Vector Machines
Collaborative Filtering
K-Nearest Neighbor
and much more!
So what are you waiting for? Learn Python in a way that will advance your career and increase your knowledge, all in a fun and practical way!
Who this course is for:
Beginners who have never programmed before.
Programmers switching languages to Python.
Software developers or programmers who want to transition into the lucrative machine learning career path will learn a lot from this course.
Technologists curious about how deep learning really works