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Python for Data Science and Machine Learning Bootcamp
Environment Set-up
Promo (3:33)
Environment Set-Up (8:50)
Jupyter Overview
JupyterNotebooks (13:48)
Python Crash Course
Introduction to Python Crash Course (1:26)
Python Crash Course Part 1 (19:29)
Python Crash Course Part 2 (15:14)
Python Crash Course Part 3 (16:39)
Python Crash Course Part 4 (15:37)
Crash Course Exercise Solutions (11:56)
Crash Course Exercises (3:35)
Python for Data Analysis - NumPy
Introduction to NumPy (2:12)
Numpy Arrays (16:49)
Numpy Array Indexing and Selection (18:23)
Numpy Operations (7:04)
Numpy Exercises Solutions (15:31)
Numpy Exercises Overview (2:46)
Python for Data Analysis - Pandas
Introduction to Pandas (1:44)
Series (10:39)
DataFrames Part 1 (15:31)
DataFrames Part 2 (17:10)
DataFrames Part 3 (9:12)
Missing Data (6:19)
Groupby (6:48)
Merging Joining and Concatenating (8:56)
Operations (12:04)
Data Input and Output (14:00)
Python for Data Analysis - Pandas Exercises
SF Salaries Overview (1:55)
SF Salaries Solutions (15:25)
Ecommerce Purchases Exercises Overview (2:11)
Ecommerce Purchases Solutions (15:12)
Python for Data Visualization - Matplotlib
Introduction to Matplotlib (3:02)
Matplotlib Part 1 (16:58)
Matplotlib Part 2 (15:51)
Matplotlib Part 3 (11:51)
Matplotlib Exercises Overview (1:47)
Matplotlib Exercises Solutions (10:19)
Python for Data Visualization - Seaborn
Intro to Seaborn (2:58)
Distribution Plots (18:20)
Categorical Plots (17:17)
Matrix Plots (10:14)
Regression Plots (7:13)
Grids (8:30)
Style and Color (8:21)
Seaborn Exercise Solutions (7:08)
Seaborn Exercises Overview (1:53)
Python for Data Visualization - Pandas Built-in Visualization
Pandas Built In Data Visualization (13:27)
Pandas Data Visualization Exercise Overview (1:22)
Pandas Data Visualization Exercise Solutions (8:55)
Python for Data Visualization - Plotly and Cufflinks
Introduction to Plotly and Cufflinks (3:22)
Plotly and Cufflinks (18:38)
Python for Data Visualization - Geographical Plotting
Introduction to Geographical Plotting (0:58)
Choropleth Plots Part 1 - USA (19:26)
Choropleth Part 2 - World (6:53)
Choropleth Exercises Overview (3:11)
Choropleth Maps Solutions (10:01)
Data Capstone Project
911 Calls Data Capstone Project Overview (2:07)
911 Solutions Part 1 (14:29)
911 Calls Soutions Part 2 (17:37)
Finance Project Overview (3:06)
Finance Data Project Solutions - Part 1 (16:13)
Finance Project Solutions Part 2 (18:11)
Finance Data Project Solutions Part 3 (6:23)
Introduction to Machine Learning
Introduction to Machine Learning (10:50)
Machine Learning with Python (9:27)
Linear Regression
Linear Regression Theory (4:33)
Linear Regression with Python - Part 1 (18:16)
Linear Regression with Python Part 2 (7:05)
Linear Regression Project Overview (2:31)
Linear Regression Project Solution (18:43)
Cross Validation and Bias Variance Trade-Off
Bias Variance Trade-Off (6:25)
Logistic Regression
Logistic Regression Theory (11:53)
Logistic Regression with Python - Part 1 (17:43)
Logistic Regression with Python Part 2 (16:57)
Logistic Regression with Python Part 3 (8:15)
Logistic Regression Project Overview (1:36)
Logistic Regression Project Solutions (11:05)
K Nearest Neighbors
KNN Theory (5:38)
KNN with Python (19:39)
KNN Project Overview (1:11)
KNN Project Solutions (14:14)
Decision Trees and Random Forests
Introduction to Tree Methods (6:53)
Decision Trees and Random Forests with Python (13:57)
Decision Trees and Random Forests Project Overview (3:10)
Decision Trees and Random Forest Solutions Part 1 (12:14)
Decision Trees and Random Forests Solutions Part 2 (8:46)
Support Vector Machines
Support Vector Machines Theory (4:36)
SVM with Python (17:52)
SVM Project Overview (2:21)
SVM Solutions (10:09)
K Means Clustering
K Means with Python (12:35)
K Means Project Overview (2:53)
K Means Algorithm Theory (5:15)
K Means Project Solutions (16:38)
Principal Component Analysis
Principal Component Analysis (3:26)
PCA with Python (16:58)
Natural Language Processing
Natural Language Processing Theory (5:07)
NLP with Python Part 1 (16:02)
NLP with Python Part 2 (18:47)
NLP with Python Part 3 (17:30)
NLP Project Overview (2:04)
NLP Project Solutions (19:26)
Spark Python and Amazon Web Services (AWS)
Big Data Overview (5:31)
Spark Overview (8:59)
AWS Account Setup (4:13)
EC2 Instance Setup (16:18)
SSH for Mac OS or Linux (4:49)
PySpark Setup (23:48)
Lambda Expressions Review (5:26)
Introduction to Spark and Python (8:16)
RDD Transformations (23:09)
Deep Learning and Neural Networks with TensorFlow
Neural Network Theory (6:42)
TensorFlow Overview (5:26)
TensorFlow Installation (23:24)
TensorFlow Basics (15:05)
MNIST Part One (11:15)
MNIST Part Two (16:21)
MNIST Part Three (18:39)
TFContriblearn (8:37)
TensorFlow Project Overview (2:06)
TensorFlow Project Solutions (13:11)
Decision Trees and Random Forest Solutions Part 1
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