Python Machine Learning Course

Python Machine Learning Course summary

Prerequisites: Basic knowledge of Python coding is a pre-requisite.
Who Should Attend? Data people who already know the basics of Python.
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Python Machine Learning Course Description

Python Machine Learning algorithms can derive trends (learn) from data and make predictions on data by extrapolating on existing trends. Companies can take advantage of this to gain insights and ultimately improve business.
Using Python scikit-learn, attendees will practice how to use Python Machine Learning algorithms to perform predictions on their data.
In this course we learn how to implement Python functions for machine learning.
We cover the below listed algorithms, which is only a small collection of what is available.
However, it will give you a good understanding, to plan your Machine Learning project.
We create, experiment and run example code to implement the algorithms.

Supervised Machine Learning:

Classification Algorithms: Naive Bayes, Decision Tree, Logistic Regression, K-Nearest Neighbors, Support Vector Machine
Regression Algorithms: Linear, Polynomial

Unsupervised Machine Learning:

Clustering Algorithms: K-means clustering, Hierarchical Clustering
Dimension Reduction Algorithms: Principal Component Analysis Latent Dirichlet allocation (LDA)
Association Machine Learning Algorithms: Apriori, Euclat

Other machine learning Algorithms:

Reinforcement learning Algorithms: Q-Learning

Ensemble Methods Algorithms:

Stacking, bagging, boosting.
Random Forest, Gradient Boosting

Neural Networks and Deep Leaning Algorithms:

Convolutional Network (CNN)

Data Preparation:

Data Exploration and Preprocessing: The first part of a Machine Learning project understands the data and the problem at hand. Data cleaning, data transformation and data pre-processing are covered using Python functions to make data exploration and preprocessing relatively easy.
Feature Engineering: Injecting domain knowledge in the process, attributes are extracted from the data and engineered into Machine Learning algorithms.

What is included in the Python Machine Learning Course:
  • Python Course Certificate on completion (assessment based)
  • Python Course notes
  • Practical Python Course exercises, Python Course Homework / Python Course Revision work
  • Tea, coffees, but no lunch
  • To assist after the course, 1 free session for questions online Python Course via Skype or Teamviewer.
  • Max group size on this Python Course is 4.
LOCATIONS
PCWorkshops London
LONDON: 8 Duncannon Street, London WC2N 4JF
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PCWorkshops Manchester
MANCHESTER: 53 Fountain Street, Manchester, M2 2AN
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PCWorkshops Birmingham
BIRMINGHAM: One Victoria Square, Birmingham, B1 1BD
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PCWorkshops Southend-on-Sea
SOUTHEND-ON-SEA: The Forum, Elmer Square, Southend-on-Sea SS1 1NS
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PCWorkshops Milton Keynes
MILTON KEYNES: Exchange House, 494 Midsummer Boulevard, Milton Keynes, MK9 2EA
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PCWorkshops PORTSMOUTH
PORTSMOUTH: Building 1000, Lakeside North Harbour, Western Road, Portsmouth, PO6 3EZ
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PCWorkshops London
LONDON: 8 Duncannon Street, London WC2N 4JF
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PCWorkshops London
LONDON: 8 Duncannon Street, London WC2N 4JF
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