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Python for Data Science and Machine Learning Bootcamp - Udemy
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Python for Data Science and Machine Learning Bootcamp - Udemy
This course provides an in-depth introduction to Python programming specifically for data science and machine learning applications. It covers topics such as data manipulation with pandas, data visualization with matplotlib and seaborn, machine learning algorithms using scikit-learn, and deep learning basics with TensorFlow.
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Requirements
- Basic understanding of programming, Familiarity with high school-level math, data and algorithms, No prior data science or machine learning experience required
Description
Python for Data Science and Machine Learning Bootcamp
Overview
Python for Data Science and Machine Learning Bootcamp
| Duration | 25 Hours |
|---|---|
| Total Fee | ₹4,499 |
| Mode of learning | Online |
| Difficulty level | Beginner |
| Official Website | Go to Our Course |
| Credential | Certificate |
Python for Data Science and Machine Learning Bootcamp
Highlights
Discover More
- ✔ 25 hours on-demand video
- < ✔ 13 articles
- ✔ 5 downloadable resources
- ✔ Access on mobile and TV
- ✔ No Cost EMI Options Available
- ✔ Certificate of completion
Python for Data Science and Machine Learning Bootcamp
Course Details
Skills you will learn
- In the Python for Data Science and Machine Learning Bootcamp, participants will gain essential skills in data analysis, visualization, and machine learning using Python. Learners will become proficient in libraries like Pandas and NumPy for data manipulation, Matplotlib and Seaborn for creating insightful visualizations, and Scikit-learn for implementing machine learning algorithms. The course covers core machine learning concepts such as regression, classification, clustering, and model evaluation. Additionally, students will learn about data preprocessing techniques, handling large datasets, and using Jupyter Notebooks for an efficient coding environment.
More about this course
- ✔ Implement Machine Learning Algorithms
- ✔ Learn to use Pandas for Data Analysis
- ✔ Learn to use Seaborn for statistical plots
- ✔ Learn to use Matplotlib for Python Plotting
- ✔ Learn to use NumPy for Numerical Data
Python for Data Science and Machine Learning Bootcamp
Curriculam
Course Introduction
- ✓ Introduction to the Course
- ✓ Course FAQs
Environment Setup
- ✓ Python Environment Setup
Jupyter Overview
- ✓ Updates to Notebook Zip
- ✓ Jupyter Notebooks
- ✓ Optional: Virtual Environments
Python Crash Course
- ✓ Welcome to the Python Crash Course Section!
- ✓ Introduction to Python Crash Course
- ✓ Python Crash Course - Part 1
- ✓ Python Crash Course - Part 2
- ✓ Python Crash Course - Part 3
- ✓ Python Crash Course - Part 4
- ✓ Python Crash Course Exercises - Overview
- ✓ Python Crash Course Exercises - Solutions
Python for Data Analysis - NumPy
- ✓ Welcome to the NumPy Section!
- ✓ Introduction to Numpy
- ✓ Numpy Arrays
- ✓ Quick Note on Array Indexing
- ✓ Numpy Array Indexing
- ✓ Numpy Operations
- ✓ Numpy Exercises Overview
- ✓ Numpy Exercises Solutions
Python for Data Analysis - Pandas
- ✓ Welcome to the Pandas Section!
- ✓ Introduction to Pandas
- ✓ Series
- ✓ DataFrames - Part 1
- ✓ DataFrames - Part 2
- ✓ DataFrames - Part 3
- ✓ Missing Data
- ✓ Groupby
- ✓ Merging Joining and Concatenating
- ✓ Operations
- ✓ Data Input and Output
Python for Data Analysis - Pandas Exercises
- ✓ Note on SF Salary Exercise
- ✓ SF Salaries Exercise Overview
- ✓ SF Salaries Solutions
- ✓ Ecommerce Purchases Exercise Overview
- ✓ Ecommerce Purchases Exercise Solutions
Python for Data Visualization - Matplotlib
- ✓ Matplotlib Part 1
- ✓ Matplotlib Part 2
- ✓ Matplotlib Part 3
- ✓ Matplotlib Exercises Overview
- ✓ Matplotlib Exercises - Solutions
Python for Data Visualization - Seaborn
- ✓ Introduction to Seaborn
- ✓ Categorical Plots
- ✓ Matrix Plots
- ✓ Grids
- ✓ Regression Plots
- ✓ Style and Color
- ✓ Seaborn Exercise Overview
- ✓ Seaborn Exercise Solutions
Python for Data Visualization - Pandas Built-in Data Visualization
- ✓ Pandas Built-in Data Visualization
- ✓ Pandas Data Visualization Exercise
- ✓ Pandas Data Visualization Exercise Solutions
► Python for Data Visualization - Plotly and Cufflinks
► Python for Data Visualization - Geographical Plotting
► Data Capstone Project
► Introduction to Machine Learning
► Linear Regression
► Cross Validation and Bias-Variance Trade-Off
► Logistic Regression
► K Nearest Neighbors
► Decision Trees and Random Forests
► Support Vector Machines
► K Means Clustering
► Principal Component Analysis
► Recommender Systems
► Natural Language Processing
► Neural Nets and Deep Learning
► Big Data and Spark with Python
Python for Data Science and Machine Learning Bootcamp
Entry Requirements
Eligibility Criteria
- A high school diploma or equivalent is typically the minimum educational requirement, although it can be open to individuals with a 10th, 12th or equal studies though some programs may prefer candidates with a bachelor's degree.
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About Instructor
About Instructor
Udemy is a website that offers online courses in a variety of topics, including business, coding, development, photography, and more. Udemy courses are created by instructors who can add videos, slides, text, and other resources to enhance the learning experience.