What you would learn in Data Science with Python Course : Hands-on Data Science 2022?
Welcome to the Complete Ultimate course guide on Data Science and Machine learning using Python.
Have you ever considered
What is the process by which Amazon gives you a product recommendation?
What happens when Netflix and YouTubedecides what movie or video you should be watching next
Google Translate converts one of the languages into another language,
Which Google knows what's within your photograph,
How do Android speech recognition and Apple Siri recognize your speech signals precisely?
If you are interested in algorithms or technology to be able to keep up with them, this is the first step to begin in this direction.
The reason for Data Science Now?
Data Scientist Data Scientist: The sexiest job in the 21st Century By Harvard Business Review
There is an enormous amount of data scientists in the software industry.
Today, the average data scientist is paid $130,000 a year, according to Glassdoor.
Would you like to be part of your journey to becoming a Data Scientist or Machine Learning Engineer?
This course includes greater than 100HD video lectures of high quality. It has more than 13 hours in length.
This is the first course that help you get started in data analysis and machine learning and work towards AI algorithm implementation.
This course will teach you.
Pythoncrash Course
Numerical Python - Numpy
Pandas - data analysis
Matplotlibfor visualization of data
Plotly and Business Intelligence Tool Tableau
Importing data using Python from various sources such as .csv, .tsv, .json, .html, web rest Facebook API
data pre-processing like normalization Train test split, Processing missing data
Web Scraping with Python BeautifulSoup allows you to extract value from HTML data that is structured
Exploratory data analysis on Pima Indian diabetes dataset
Visualization of Pima Indian diabetes dataset
Data Transformation Data transformation scaling Data Rescale Data Standardize Data Binarize Data normalize data.
A brief introduction to Machine Learning and Scikit Learn an overview of its type and its comparison to the traditional methods. Supervised learning vs. Unsupervised Learning
The understanding of regression, classification, and clustering
Selection of features and elimination method.
And many more Machine Learning algorithms are yet to be released.
Data Science Prerequisite the basics of Probability and statistics
Configuration Data Science and Machine learning labs on the Microsoft Azure Cloud. Microsoft Azure Cloud
Course Content:
- You will be taught One of the top sought-after skills of the 21st century: Data Science
- Include Data science expertise: NumPy, python pandas, Plotly tableau statistics, machine learning, and probability on your resume
- Apply logistic regression and linear regression to accurate data.
- A crash course in Python
- Apply matrix operation using Numpy - Numerical Python library
- Visualize your data using the mother of all visualization libraries available in Python MatplotLIb
- Perform data analysis, wrangling, and cleaning using the panda's library
- Explore Plotly's interactive visualization library
- Starting with Tableau, a data visualization tool. Tableau
- Data Pre-processing Technique - Missing data Normalization, one Hot encoder,
- Importing data into Python from various sources, files
- Web Scraping is a method to download Web pages and extract the data
- Data transformation and scaling
- Analysis of Exploratory Data
- The process of feature engineering used in Machine Learning system design
- The theory of machine learning
- Apache spark installation: pyspark
- Starting with spark sessions
- Mathey is required to machine learning: Statistics Probability, Statistics
- Configuration Data Science Virtual machine on Microsoft Azure Cloud
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