Using Python for Business
107 videos • 115 views • by Stephanie Powers
1
PERT using Python
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2
Voronoi Polygon using Python
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3
Capacity Planning in Python
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4
Impact of Bottlenecks on Capacity Planning (analysis in Python)
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5
Performing Breakeven Analysis in Python
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6
Linear Programming in Python
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7
Integer Programming in Python
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8
Integer Programming in Python Practice
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9
Short Term Forecasting in Python
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10
Linear Forecasting in Python
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11
Trend Forecasting Using Polynomials in Python
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12
Forecasting using Logarithmic and Exponential Functions in Python
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13
Calculating Measurement Error using Python
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14
Creating Associative Models in Python
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15
Histograms in Python
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16
Pareto Chart in Python
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17
Control Chart in Python
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18
Binary Integer Programming
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19
Cluster Analysis in Python - KMeans and Elbow Method
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20
Intro to Cluster Analysis
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21
Cluster Analysis in Python - Silhouette, Calinski Harabasz, and Davies Bouldin for KMeans
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22
Cluster Analysis in Python - Hierarchical Clustering (Agglomerative Clustering)
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23
Cluster Analysis in Python - Dendrograms
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24
Cluster Analysis in Python - How to use Cluster Analysis for Business Decisions
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25
Classification Models in Python - Use Cases
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26
Cluster Analysis in Python - DBSCAN
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27
Dimension Reduction in Python - Principal Component Analysis (PCA)
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28
Dimension Reduction in Python - Incremental PCA
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29
Dimension Reduction - Sparse and Kernel PCA
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30
Dimension Reduction in Python - Singular Value Decomposition (SVD) Latent Semantic Analysis (LSA)
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31
Dimension Reduction in Python - ISOMAP, LLE, and TSNE
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32
Dimension Reduction in Python - Nonlinear Methods
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33
Intro to Prescriptive Analytics
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34
Intro to Predictive Analytics
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35
Intro to Diagnostic Analytics
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36
Intro to Descriptive Analytics
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37
Intro to Reinforced Learning
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38
Intro to Unsupervised Learning
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39
Intro to Supervised Learning
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40
Decision Tree Intro
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41
Creating Decision Trees in Schemdraw
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42
Decision Trees and Sensitivity Analysis (Quantity)
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43
Decision Trees and Sensitivity Analysis (Price)
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44
Decision Trees and Sensitivity Analysis (Price and Probability)
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45
Decision Tree with Imperfect Information (Bayes Theorem)
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46
Introduction to Monte Carlo Simulations
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47
Distributions in Python for Monte Carlo Simulations
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48
Monte Carlo Simulation Example
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49
Queuing Models - Single Server
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50
Queuing Models - Multiple Servers
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51
Queuing Models - Number of Servers
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52
Queuing Models - Single Server with Finite Population
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53
Queuing Models - Single Server with Arbitrary Service Time
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54
Queuing Models - Single Server with Constant Service Time and Multiple Server with No Waitlist
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55
Text Mining in Python - Import and Clean
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56
Text Mining in Python - Tokenize
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57
Text Mining in Python - Word Count
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58
Text Mining in Python - Word Cloud
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59
Text Mining in Python - Open Ended Survey Questions
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60
Text Mining in Python - Count Vectorizer
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61
Text Mining in Python - Ngrams
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62
Text Mining in Python - Zipfs law
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63
Text Mining in Python - Word Search
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64
Text Mining in Python - Word Tree
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65
Image Recognition Using KNN
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66
Denoise Images using KNN
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67
Recommendation Engine - Collaborative Filtering
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68
Correlogram
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69
Webscraping
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70
Sentiment Analysis without Neural Networks
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71
Webscraping Static v Dynamic Websites
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72
Creating Organizational Charts in Python
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73
Organizational Hierarchy
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74
Logit Regression in Python
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75
Poisson Regression in Python
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76
Linear Regression in Python
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77
Ridge Regression
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78
Lasso Regression
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79
Why You Need Tell Stories with Data
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80
How to tell stories with data
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81
Introduction to Dashboards
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82
Creating Sankey Diagrams in Python
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83
Gauge Charts in Python
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84
Using Plotly and Dash to Build a Dashboard
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85
Reality Mining
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86
Reality Mining: Location Tracking
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87
Reality Mining: Create a Route
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88
Reality Mining: Bubble Map
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89
Intro to Reinforced Learning
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90
Reinforced Learning: Brute Force
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91
Reinforced Learning: Q Learning
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92
Reinforced Learning: SARSA
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93
Intro to Neural Networks
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94
Designing a Neural Network
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95
Layers of Neural Networks
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96
ARIMA
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97
SARIMA
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98
MLP Classifier
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99
MLP Regressor
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100
Convolution Neural Network (CNN) for Image Classification
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101
Web Analytics: YouTube Data
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102
Web Analytics: Twitter
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103
CNN for Sentiment
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104
RNN for Time Series Forecasts
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105
Outlier Detection Models
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106
Benford's Law for Detecting Financial Fraud
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107
Outlier Detection Using Prophet Medium Term Forecasting Model
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