Home
EN - GBP
Site Language
Site Currency
Python for Data Science and Machine Learning Bootcamp
  • Home
  • Courses
  • Python for Data Science and Machine Learning Bootcamp
Python for Data Science and Machine Learning Bootcamp
0.00 (0)
Software Development / Data Science

Python for Data Science and Machine Learning Bootcamp

Learn how to use NumPy, Pandas, Seaborn, Plotly, Machine Learning, Tensorflow, and more!

Pierce Dach
Pierce Dach
8 Students enrolled
Intermediate
English
This course includes:
  • 18h 31m
  • 166 Lectures
  • 294 Downloadable assets
  • Full lifetime access
  • Access on Mobile and TV
  • Certificate on completion
GBP824.00

Overview

What will students learn in your course?
  • 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
What are the requirements or prerequisites for taking your course?
  • Some programming experience
  • Admin permissions to download files
Who is the course for?
  • This course is meant for people with at least some programming experience
Description
Course tags

Course content

  • 27 Sections
  • 166 Lectures
  • 18h 31m Total length
Course Introduction
19m
3 Lectures

Course Introduction

Introduction to the Course
Preview 0:06:12
Course Help and Welcome
Preview 0:09:13
Course FAQs
0:03:41
Python Environment Setup
Preview 0:06:54
Updates to Notebook Zip
0:06:12
Jupyter Notebooks
0:06:54
Optional: Virtual Environments
0:03:41
Welcome to the Python Crash Course Section!
0:07:30
Introduction to Python Crash Course
0:06:54
Python Crash Course - Part 1
0:06:54
Python Crash Course - Part 2
0:07:30
Python Crash Course - Part 3
0:07:30
Python Crash Course - Part 4
0:06:54
Python Crash Course Exercises - Overview
0:07:30
Python Crash Course Exercises - Solutions
0:07:30
Welcome to the NumPy Section!
0:06:12
Introduction to Numpy
0:06:54
Numpy Arrays
0:09:13
Quick Note on Array Indexing
0:09:13
Numpy Array Indexing
0:07:30
Numpy Operations
0:09:13
Numpy Exercises Overview
0:06:54
Numpy Exercises Solutions
0:07:30
Welcome to the Pandas Section!
0:03:41
Introduction to Pandas
0:07:30
Series
0:03:41
DataFrames - Part 1
0:06:54
DataFrames - Part 2
0:07:30
DataFrames - Part 3
0:06:12
Missing Data
0:06:12
Groupby
0:07:30
Merging Joining and Concatenating
0:07:30
Operations
0:03:41
Data Input and Output
0:07:30
Note on SF Salary Exercise
0:06:12
SF Salaries Exercise Overview
0:06:54
SF Salaries Solutions
0:09:13
Ecommerce Purchases Exercise Overview
0:07:30
Ecommerce Purchases Exercise Solutions
0:09:13
Welcome to the Data Visualization Section!
Preview 0:06:12
Introduction to Matplotlib
Preview 0:06:54
Matplotlib Part 1
0:07:30
Matplotlib Part 2
0:07:30
Matplotlib Part 3
0:09:13
Matplotlib Exercises Overview
0:06:54
Matplotlib Exercises - Solutions
0:09:13
Introduction to Seaborn
0:07:30
Distribution Plots
Preview 0:07:30
Categorical Plots
0:07:30
Matrix Plots
0:03:41
Grids
0:06:54
Regression Plots
0:06:54
Style and Color
0:06:54
Seaborn Exercise Overview
0:07:30
Seaborn Exercise Solutions
0:09:13
Pandas Built-in Data Visualization
0:06:54
Pandas Data Visualization Exercise
0:06:12
Pandas Data Visualization Exercise- Solutions
0:06:12
Introduction to Plotly and Cufflinks
Preview 0:06:54
READ ME FIRST BEFORE PLOTLY PLEASE!
0:07:30
Plotly and Cufflinks
0:07:30
Introduction to Geographical Plotting
Preview 0:06:54
Choropleth Maps - Part 1 - USA
0:03:41
Choropleth Maps - Part 2 - World
0:06:12
Choropleth Exercises
0:06:12
Choropleth Exercises - Solutions
0:06:12
Welcome to the Data Capstone Projects!
Preview 0:06:54
911 Calls Project Overview
Preview 0:07:30
911 Calls Solutions - Part 1
0:03:41
911 Calls Solutions - Part 2
0:03:41
Bank Data
0:07:30
Finance Data Project Overview
0:07:30
Finance Project - Solutions Part 1
0:06:12
Finance Project - Solutions Part 2
0:07:30
Finance Project - Solutions Part 3
0:06:12
Welcome to Machine Learning. Here are a few resources to get you started!
0:06:54
Welcome to the Machine Learning Section!
0:07:30
Supervised Learning Overview
0:07:30
Evaluating Performance - Classification Error Metrics
0:09:13
Evaluating Performance - Regression Error Metrics
0:06:54
Machine Learning with Python
0:09:13
Linear Regression Theory
0:03:41
model_selection Updates for SciKit Learn 0.18
0:06:12
Linear Regression with Python - Part 1
0:07:30
Linear Regression with Python - Part 2
0:06:12
Linear Regression Project Overview
0:09:13
Linear Regression Project Solution
0:06:54
Bias Variance Trade-Off
0:09:13
Logistic Regression Theory
0:03:41
Logistic Regression with Python - Part 1
0:07:30
Logistic Regression with Python - Part 2
0:07:30
Logistic Regression with Python - Part 3
0:03:41
Logistic Regression Project Overview
0:06:12
Logistic Regression Project Solutions
0:09:13
KNN Theory
0:03:41
KNN with Python
0:09:13
KNN Project Overview
0:09:13
KNN Project Solutions
0:03:41
Introduction to Tree Methods
0:07:30
Decision Trees and Random Forest with Python
0:07:30
Decision Trees and Random Forest Project Overview
0:07:30
Decision Trees and Random Forest Solutions Part 1
0:06:12
Decision Trees and Random Forest Solutions Part 2
0:03:41
SVM Theory
0:06:54
Support Vector Machines with Python
0:06:12
SVM Project Overview
0:03:41
SVM Project Solutions
0:06:12
K Means Algorithm Theory
0:06:12
K Means with Python
0:06:54
K Means Project Overview
0:03:41
K Means Project Solutions
0:06:12
Principal Component Analysis
0:03:41
PCA with Python
0:07:30
Recommender Systems
0:06:54
Recommender Systems with Python - Part 1
0:06:54
Recommender Systems with Python - Part 2
0:07:30
Natural Language Processing Theory
0:03:41
NLP with Python - Part 1
0:06:12
NLP with Python - Part 2
0:09:13
NLP with Python - Part 3
0:07:30
NLP Project Overview
0:07:30
NLP Project Solutions
0:03:41
Download TensorFlow Notebooks Here
0:03:41
Quick Check for Notes
0:06:12
Welcome to the Deep Learning Section!
0:06:54
Introduction to Artificial Neural Networks (ANN)
0:06:12
Installing Tensorflow
0:06:54
Perceptron Model
0:03:41
Neural Networks
0:07:30
Activation Functions
0:06:12
Multi-Class Classification Considerations
0:03:41
Cost Functions and Gradient Descent
0:06:54
Backpropagation
0:06:12
TensorFlow vs Keras
0:06:12
TF Syntax Basics - Part One - Preparing the Data
0:07:30
TF Syntax Basics - Part Two - Creating and Training the Model
0:06:54
TF Syntax Basics - Part Three - Model Evaluation
0:06:12
TF Regression Code Along - Exploratory Data Analysis
0:06:54
TF Regression Code Along - Exploratory Data Analysis - Continued
0:06:12
TF Regression Code Along - Data Preprocessing and Creating a Model
0:07:30
TF Regression Code Along - Model Evaluation and Predictions
0:07:30
TF Classification Code Along - EDA and Preprocessing
0:07:30
TF Classification - Dealing with Overfitting and Evaluation
0:06:54
TensorFlow 2.0 Project Options Overview
0:07:30
TensorFlow 2.0 Project Notebook Overview
0:06:12
Keras Project Solutions - Dealing with Missing Data
0:06:12
Keras Project Solutions - Dealing with Missing Data - Part Two
0:06:54
Keras Project Solutions - Categorical Data
0:07:30
Keras Project Solutions - Data PreProcessing
0:09:13
Keras Project Solutions - Data PreProcessing
0:07:30
Keras Project Solutions - Creating and Training a Model
0:06:12
Keras Project Solutions - Model Evaluation
0:03:41
Tensorboard
0:06:12
Welcome to the Big Data Section!
0:06:54
Big Data Overview
0:06:54
Spark Overview
0:09:13
Local Spark Set-Up
0:07:30
AWS Account Set-Up
0:03:41
Quick Note on AWS Security
0:06:54
EC2 Instance Set-Up
0:03:41
SSH with Mac or Linux
0:06:12
PySpark Setup
0:06:54
Lambda Expressions Review
0:07:30
Introduction to Spark and Python
0:07:30
RDD Transformations and Actions
0:06:12
Bonus Lecture
0:09:13

About tutor

Pierce Dach
0.00 (0)

Pierce Dach

Courses 3

Hello everyone! I am Pierce Dach and I've worked in learning and skills service for above 8 years. The goal of learning english is to enhance fluency by improving vocabulary and structure. I will make learning english more convenient for you.

View profile

More courses from Pierce

Leadership: Practical Leadership Skills
0.00 (0)
Leadership: Practical Leadership Skills
5h 11m 49 Lectures

GBP811.00

Pierce Dach
Pierce Dach
Electricity & electronics - Robotics, learn by building
4.00 (1)
Electricity & electronics - Robotics, learn by building
6h 37m 62 Lectures

GBP975.00

Pierce Dach
Pierce Dach
The website uses cookies to provide the best user experience while browsing safely. You can read more about cookies in the Privacy Policy. Read more Accept cookies Choose cookies