Advance Python | Python for Datascience
https://DevCourseWeb.com
Published 11/2023
Created by Selfcode Academy
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 24 Lectures ( 9h 44m ) | Size: 4 GB
A Python-Based Datascience Roadmap
What you'll learn
The course is designed to provide students with a strong foundation in advanced Python programming, data analysis, and machine learning.
Students will learn advanced programming concepts, including list comprehensions, file I/O operations, exception handling, and lot more advance python concepts.
Data manipulation and analysis using the NumPy and Pandas libraries, covering data cleaning, preprocessing, and transformation techniques.
Data visualization using Matplotlib, Seaborn, and Plotly for creating informative and visually appealing plots and charts.
Implementation and evaluation of various machine learning algorithms, such as supervised and unsupervised learning, using the Scikit-learn library.
Optional exploration of advanced topics like natural language processing, web scraping, time series analysis, and recommender systems for a more comprehensive u
Requirements
Students should have understanding of fundamental Python concepts, including variables, data types, loops, and functions.
A genuine interest in working with data, conducting data analysis, and implementing machine learning models is crucial to fully benefit from the course content.
A foundational knowledge of basic mathematical concepts, such as algebra and statistics, will be helpful for comprehending certain aspects of data analysis, machine learning, and numerical computing.