IIRF Online > Development > Data Science > Python > Python for Data Science and Machine Learning Bootcamp
Python for Data Science and Machine Learning Bootcamp by Udemy
Learn how to use NumPy, Pandas, Seaborn , Matplotlib , Plotly , Scikit-Learn , Machine Learning, Tensorflow , and more!
Course Highlights
- Use Python for Data Science and Machine Learning
- Use Spark for Big Data Analysis
- Implement Machine Learning Algorithms
- Learn to use NumPy for Numerical Data
- Learn to use Pandas for Data Analysis
- Learn to use Matplotlib for Python Plotting
- Learn to use Seaborn for statistical plots
- Use Plotly for interactive dynamic visualizations
- Use SciKit-Learn for Machine Learning Tasks
- K-Means Clustering
- Logistic Regression
- Linear Regression
- Random Forest and Decision Trees
- Natural Language Processing and Spam Filters
- Neural Networks
- Support Vector Machines
Skills you will learn!
Curriculum
3 Topics
Introduction to the Course
Course Help and Welcome
Course FAQs
1 Topic
Python Environment Setup
3 Topics
Updates to Notebook Zip
Jupyter Notebooks
Optional: Virtual Environments
8 Topics
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
8 Topics
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
11 Topics
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
5 Topics
Note on SF Salary Exercise
SF Salaries Exercise Overview
SF Salaries Solutions
Ecommerce Purchases Exercise Overview
Ecommerce Purchases Exercise Solutions
7 Topics
Welcome to the Data Visualization Section!
Introduction to Matplotlib
Matplotlib Part 1
Matplotlib Part 2
Matplotlib Part 3
Matplotlib Exercises Overview
Matplotlib Exercises - Solutions
9 Topics
Introduction to Seaborn
Distribution Plots
Categorical Plots
Matrix Plots
Grids
Regression Plots
Style and Color
Seaborn Exercise Overview
Seaborn Exercise Solutions
3 Topics
Pandas Built-in Data Visualization
Pandas Data Visualization Exercise
Pandas Data Visualization Exercise- Solutions
3 Topics
Introduction to Plotly and Cufflinks
READ ME FIRST BEFORE PLOTLY PLEASE!
Plotly and Cufflinks
5 Topics
Introduction to Geographical Plotting
Choropleth Maps - Part 1 - USA
Choropleth Maps - Part 2 - World
Choropleth Exercises
Choropleth Exercises - Solutions
9 Topics
Welcome to the Data Capstone Projects!
911 Calls Project Overview
911 Calls Solutions - Part 1
911 Calls Solutions - Part 2
Bank Data
Finance Data Project Overview
Finance Project - Solutions Part 1
Finance Project - Solutions Part 2
Finance Project - Solutions Part 3
6 Topics
Welcome to Machine Learning. Here are a few resources to get you started!
Welcome to the Machine Learning Section!
Supervised Learning Overview
Evaluating Performance - Classification Error Metrics
Evaluating Performance - Regression Error Metrics
Machine Learning with Python
6 Topics
Linear Regression Theory
model_selection Updates for SciKit Learn 0.18
Linear Regression with Python - Part 1
Linear Regression with Python - Part 2
Linear Regression Project Overview
Linear Regression Project Solution
1 Topic
Bias Variance Trade-Off
6 Topics
Logistic Regression Theory
Logistic Regression with Python - Part 1
Logistic Regression with Python - Part 2
Logistic Regression with Python - Part 3
Logistic Regression Project Overview
Logistic Regression Project Solutions
4 Topics
KNN Theory
KNN with Python
KNN Project Overview
KNN Project Solutions
5 Topics
Introduction to Tree Methods
Decision Trees and Random Forest with Python
Decision Trees and Random Forest Project Overview
Decision Trees and Random Forest Solutions Part 1
Decision Trees and Random Forest Solutions Part 2
4 Topics
SVM Theory
Support Vector Machines with Python
SVM Project Overview
SVM Project Solutions
4 Topics
K Means Algorithm Theory
K Means with Python
K Means Project Overview
K Means Project Solutions
2 Topics
Principal Component Analysis
PCA with Python
3 Topics
Recommender Systems
Recommender Systems with Python - Part 1
Recommender Systems with Python - Part 2
6 Topics
Natural Language Processing Theory
NLP with Python - Part 1
NLP with Python - Part 2
NLP with Python - Part 3
NLP Project Overview
NLP Project Solutions
31 Topics
Download TensorFlow Notebooks Here
Quick Check for Notes
Welcome to the Deep Learning Section!
Introduction to Artificial Neural Networks (ANN)
Installing Tensorflow
Perceptron Model
Neural Networks
Activation Functions
Multi-Class Classification Considerations
Cost Functions and Gradient Descent
Backpropagation
TensorFlow vs Keras
TF Syntax Basics - Part One - Preparing the Data
TF Syntax Basics - Part Two - Creating and Training the Model
TF Syntax Basics - Part Three - Model Evaluation
TF Regression Code Along - Exploratory Data Analysis
TF Regression Code Along - Exploratory Data Analysis - Continued
TF Regression Code Along - Data Preprocessing and Creating a Model
TF Regression Code Along - Model Evaluation and Predictions
TF Classification Code Along - EDA and Preprocessing
TF Classification - Dealing with Overfitting and Evaluation
TensorFlow 2.0 Project Options Overview
TensorFlow 2.0 Project Notebook Overview
Keras Project Solutions - Dealing with Missing Data
Keras Project Solutions - Dealing with Missing Data - Part Two
Keras Project Solutions - Categorical Data
Keras Project Solutions - Data PreProcessing
Keras Project Solutions - Data PreProcessing
Keras Project Solutions - Creating and Training a Model
Keras Project Solutions - Model Evaluation
Tensorboard
12 Topics
Welcome to the Big Data Section!
Big Data Overview
Spark Overview
Local Spark Set-Up
AWS Account Set-Up
Quick Note on AWS Security
EC2 Instance Set-Up
SSH with Mac or Linux
PySpark Setup
Lambda Expressions Review
Introduction to Spark and Python
RDD Transformations and Actions
1 Topic
Bonus Lecture
Python for Data Science and Machine Learning Bootcamp
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