Machine Learning With Python Course

INTRODUCTION

This comprehensive course will be your guide to learning how to use the power of Python to analyze big data, create beautiful visualizations, and use powerful machine learning algorithms. This course is designed for both beginners with basic programming experience or experienced developers looking to make the jump to Data Science and big data analysis.

DURATION

5 days

COURSE LEVEL:

Register for the course


Face to Face Schedules By Location
Nairobi Schedules:
Code Date Duration Location Fees
MLP07 19 Jun 2023 - 23 Jun 2023 5 days Nairobi, Kenya KES 75,000 | USD 1,100 Register
MLP07 17 Jul 2023 - 21 Jul 2023 5 days Nairobi, Kenya KES 75,000 | USD 1,100 Register
MLP07 14 Aug 2023 - 18 Aug 2023 5 days Nairobi, Kenya KES 75,000 | USD 1,100 Register
MLP07 18 Sep 2023 - 22 Sep 2023 5 days Nairobi, Kenya KES 75,000 | USD 1,100 Register
MLP07 16 Oct 2023 - 20 Oct 2023 5 days Nairobi, Kenya KES 75,000 | USD 1,100 Register
MLP07 20 Nov 2023 - 24 Nov 2023 5 days Nairobi, Kenya KES 75,000 | USD 1,100 Register
MLP07 18 Dec 2023 - 22 Dec 2023 5 days Nairobi, Kenya KES 75,000 | USD 1,100 Register
Kigali Schedules:
Mombasa Schedules:
Nakuru Schedules:
Kisumu Schedules:
Naivasha Schedules:
Virtual Trainer Led Schedules
Contact Us on (+254) 715 077 817 / (+254) 792 516 000 or email us [email protected] for a virtual schedule.
Code Date Duration Period Fees
E-Learning

Contact Us on (+254) 715 077 817 / (+254) 792 516 000 or email us [email protected] for E-Learning course.



TOPICS COVERED

  • Research Design
  • Python for Data Science and Machine Learning
  • Spark for Big Data Analysis
  • Implement Machine Learning Algorithms
  • Numbly for Numerical Data
  • Pandas for Data Analysis
  • Matplotlib for Python Plotting
  • Seaborn for statistical plots
  • Interactive dynamic visualizations
  • SciKit-Learn for Machine Learning Tasks
  • K-Means Clustering, Logistic Regression, and Linear Regression
  • Random Forest and Decision Trees
  • Natural Language Processing and Spam Filters
  • Neural Networks
  • Support Vector Machines
  • Research report writing

Course Administration Details:

METHODOLOGY

The instructor led trainings are delivered using a blended learning approach and comprise of presentations, guided sessions of practical exercise, web-based tutorials and group work. Our facilitators are seasoned industry experts with years of experience, working as professional and trainers in these fields.

All facilitation and course materials will be offered in English. The participants should be reasonably proficient in English.

ACCREDITATION

Upon successful completion of this training, participants will be issued with an Indepth Research Institute (IRES) certificate certified by the National Industrial Training Authority (NITA).

TRAINING VENUE

The training will be held at IRES Training Centre. The course fee covers the course tuition, training materials, two break refreshments and lunch.

All participants will additionally cater for their, travel expenses, visa application, insurance, and other personal expenses.

ACCOMMODATION AND AIRPORT PICKUP

Accommodation and airport pickup are arranged upon request. For reservations contact the Training Officer.

Email:[email protected] or [email protected]

Mob: +254 715 077 817/+250789621067

TAILOR- MADE

This training can also be customized to suit the needs of your institution upon request. You can have it delivered in our IRES Training Centre or at a convenient location.

For further inquiries, please contact us on Tel: +254 715 077 817/+250789621067

Mob: +254 792516000+254 792516010 , +250 789621067 ,or mail [email protected] or [email protected]

PAYMENT

Payment should be transferred to IRES account through bank on or before start of the course.

Send proof of payment to [email protected] or [email protected]


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