This complete course, "Complete Python, Numpy, Machine Learning Course :Mega Pack,” which includes top lessons on Python programming and data manipulation and also covers the basics of machine learning, will be interesting for both starting coders and those who wanna develop their skills. This step begins with learning Python, which comprises data types such as integers, strings, and lists. This part will have exercises to enhance learning. You will also be introduced to Python functions, how they are defined, how they work, and when to use them, which forms a good basis for further learning.
Moving forward, the course "Complete Python, Numpy, Machine Learning Course :Mega Pack,” the NumPy is the main theme, and this is a Sci-Compute package. In this course, you will find out how to perform arithmetic operations on arrays and learn simple and complex operations with NumPy arrays; you will understand the differences between vectors, matrices, and coordinate vectors and learn about Python lists and other languages’ lists’ differences; you will do many numerical computations with the help of NumPy; and you will also learn about NumPy and other languages’ arrays’ similarities and differences. Another module is also dedicated to the Pandas library, where you receive knowledge on data manipulation and data visualization. It will also impart knowledge on data cleansing, merging, and performing statistical analysis on the data, which is essential in data analysis or science job positions.
As for the last part of the curriculum, the trainer teaches Matplotlib’s data visualization with plots such as lines, bars, scatter, and pie. Moreover, you’ll be introduced to statistics and probability, which form the foundation that will enable you to learn about data analysis. Last but not least, the course summarizes the basics of machine learning, what we are learning, machine learning techniques and some examples. It will also be a live demo of a machine learning project that demonstrates how the building and evaluating of a model can be done while at the same time getting hands-on experience.
Complete Python, Numpy, Machine Learning Course :Mega Pack Table of Contents:
- Data Types in Python - 31:20
- Functions - 15:20
- Performing Mathematical Functions Using NumPy - 17:35
- NumPy vs List - 07:18
- SciPy Introduction - 03:02
- Sub-Package Cluster - 07:32
- Introduction to Pandas - 05:40
- DataFrame in Pandas - 07:51
- Merge, Join, and Concatenate - 14:28
- Importing and Analyzing Data Set - 05:03
- Cleaning the Data Set - 06:31
- Manipulating the Data Set - 07:05
- Visualizing the Data Set - 03:49
- What is Data Visualization? - 02:54
- Introduction to Matplotlib - 02:20
- How to Create a Line Plot? - 09:09
- How to Create a Bar Plot? - 04:22
- How to Create a Scatter Plot? - 06:25
- How to Create a Histogram? - 04:45
- How to Create a Box and Violin Plot? - 04:15
- How to Create a Pie Chart and Doughnut Chart? - 06:01
- How to Create an Area Chart? - 03:12
- What is Data? - 06:39
- Introduction to Statistics - 06:36
- Sampling - 09:40
- Probability - 08:58
- Probability Distribution - 22:39
- Inferential Statistics - 38:29
- Types of Machine Learning - 16:30
- What Can You Do with Machine Learning? - 02:23
- Machine Learning Demo - 17:34
Who is this course for?
- Students with coursework that requires the use of Python
- Some of the works that researchers engage themselves in involve using Python.
- Any person intending to acquire highly demanded skills in sciences and technology.
