machinelearningwithpython
By: JOHNSON
This comprehensive course will be your guide to learning how to use the power of Python to analyze data, create beautiful visualizations, and use powerful machine learning algorithms!
Course Details
Data Scientist has been ranked the number one job on Glassdoor and the average salary of a data scientist is over $120,000 in the United States according to Indeed! Data Science is a rewarding career that allows you to solve some of the world's most interesting problems!
This course is designed for both beginners with some programming experience or experienced developers looking to make the jump to Data Science!
This comprehensive course is comparable to other Data Science bootcamps that usually cost thousands of dollars, but now you can learn all that information at a fraction of the cost! With over 100 HD video lectures and detailed code notebooks for every lecture this is one of the most comprehensive course for data science and machine learning on Chicmicro
We'll teach you how to program with Python, how to create amazing data visualizations, and how to use Machine Learning with Python! Here a just a few of the topics we will be learning:
Programming with Python
NumPy with Python
Using pandas Data Frames to solve complex tasks
Use pandas to handle Excel Files
Web scraping with python
Connect Python to SQL
Use matplotlib and seaborn for data visualizations
Use plotly for interactive visualizations
Machine Learning with SciKit Learn, including:
Linear Regression
K Nearest Neighbors
K Means Clustering
Decision Trees
Random Forests
Natural Language Processing
Neural Nets and Deep Learning
Support Vector Machines
and much, much more!
Enroll in the course and become a data scientist today!
Reviews (1)
Simple and solid instructor
Course Content
Lesson Title  Lesson Preview  Lesson Duration 

Lesson 1: Introduction to ML 
Enrolled Course First

5 
Lesson 2: Set up Tools 
Enrolled Course First

2 
Lesson 3: Anaconda Installation 
Enrolled Course First

2 
Lesson 4: Lunch Anaconda 
Enrolled Course First

7 
Lesson 5: Introduction to Pandas and NumPy 
Enrolled Course First

8 
Lesson 6: Pandas Vs NumPy 
Enrolled Course First

5 
Lesson 7: One Dimensional Series Object 
Enrolled Course First

3 
Lesson 8: LAB One Dimensional 
Enrolled Course First

6 
Lesson 9: Dataframe: Merging Data Frame 
Enrolled Course First

26 
Lesson 10: Dataframe: Join Data frame 
Enrolled Course First

5 
Lesson Title  Lesson Preview  Lesson Duration 

Lesson 1: Linear Regression 
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2 
Lesson Title  Lesson Preview  Lesson Duration 

Lesson 1: Variable and Data 
Enrolled Course First

3 
Lesson 2: LAB 1 
Enrolled Course First

6 
Lesson Title  Lesson Preview  Lesson Duration 

Lesson 1: Data Type and Dispersion 
Enrolled Course First

7 
Lesson 2: LAB 1 
Enrolled Course First

5 
Lesson Title  Lesson Preview  Lesson Duration 

Lesson 1: Standard Deviation, Variance, Percentile 
Enrolled Course First

7 
Lesson 2: LAB 1 
Enrolled Course First

6 
Lesson Title  Lesson Preview  Lesson Duration 

Lesson 1: Data Distributions 
Enrolled Course First

3 
Lesson 2: Lab Data Distribution: Create 250 Random Number 
Enrolled Course First

2 
Lesson Title  Lesson Preview  Lesson Duration 

Lesson 1: DD with Histogram 
Enrolled Course First

3 
Lesson 2: LAB Histogram 
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7 
Lesson Title  Lesson Preview  Lesson Duration 

Lesson 1: Big Data Distribution: Uniform and Normal 
Enrolled Course First

4 
Lesson 2: LAB 1 
Enrolled Course First

2 
Lesson 3: LAB 2 
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2 
Lesson Title  Lesson Preview  Lesson Duration 

Lesson 1: Scatter Plot 
Enrolled Course First

3 
Lesson 2: LAB 1 
Enrolled Course First

3 
Lesson Title  Lesson Preview  Lesson Duration 

Lesson 1: Real Word Big Data 
Enrolled Course First

9 
Instructor Detail
JOHNSON
Data Engineering, Full Stack Developer, PMP
Big data and data analysis using R AND SPSS for processing data stream and evolving decision making for productive business smart solution.
I work presently with CHICMICRO after my impactful delivery at NIIT Technologies.
I studied Computer Science and Statistics with a BSC. I find out that tech is a place to to express my passion.