Training on Advanced Data Mining Course
About the course
Data Mining studies algorithms and computational paradigms that allow computers to find insights, patterns and regularities in databases or dataset, perform prediction and forecasting, and generally improve their performance through interaction with data.
Who Should Attend the Data Mining course?
Anyone who is a machine learning engineer, data scientist, a data professional, or anyone who needs to study machine learning from scratch, or anyone who encounters data prediction and forecasting in his/her work.
Course Objective
This course will introduce the learners the basic skills they need to become the data professionals including:
Data cleaning
Data preprocessing
Feature engineering
Machine learning
Course duration
5 Days
Course Outline:
Module 1: Introduction to Data Mining
- What is data mining?
- Related technologies - Machine Learning, DBMS, OLAP, Statistics
- Data Mining Goals
- Stages of the Data Mining Process
- Data Mining Techniques
Module 2: Data preprocessing
- Data cleaning
- Data transformation
- Feature selection
- Data reduction
- Installing Weka 3 Data Mining System
Module 3: Feature Engineering
- Categorical Features Engineering
- OneHotEncoder
- LebelEncoder
- OrdinalEncoder
- Numerical Features Engineering
- Standardization Scale
- Min Max Scale
- Normalization Scale
Module 4: Classification Modeling
-
Imbalance data solution
- Train and test data split
- Model fitting
- Test data prediction
- Model evaluation
- Confusion Matrix
- Accuracy score
- Precision Score
- Recall Score
- F1 Score
- Hyper parameter tuning
- Model selection
- Model saving for prediction
Module 5: Regression and Clustering Modeling
- Regression
- Train and test data split
- Model fitting
- Test data prediction
- Model evaluation
- RMSE
- MAE
- R-Square
- RSS
- Model selection
- Model saving for prediction
- Clustering
- K-Means
- Hierarchical clustering
Methodology
This instructor led training course is delivered using a blended learning approach and comprises 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 a certificate of participation.
Training Venue
The training is residential and will be held at the Livecode Training Centre in Westlands, Nairobi, Kenya. The course fee covers the course tuition, training materials, two break refreshments, lunch, and study visits.
All participants will additionally cater for their, travel expenses, visa application, insurance, and other personal expenses.
Accommodation
Accommodation is arranged upon request. For reservations contact the Training Officer.
Email: This email address is being protected from spambots. You need JavaScript enabled to view it.
Mobile Number: +254 725 771 853
Training Fees
The course fees is KES 70,000.00 or USD 1000.00 exclusive of VAT. The course fees covers the course tuition, training materials, two (2) break refreshments, lunch and study visits. Participants will cater for their travel and accommodation costs.
Payment
Payment should be transferred to Livecode Technologies account through bank on or before the course starting date.
Send proof of payment to This email address is being protected from spambots. You need JavaScript enabled to view it.
Cancellation Policy
Payment for the all courses includes a registration fee, which is non-refundable, and equals 15% of the total sum of the course fee.
Tailor- Made
This scheduled course can also be tailored for your organization. To find out how our tailor-made training can help your organization, call our team on
Please Note: The program content shown here is for guidance purposes only. Our continuous course improvement process may lead to changes in topics and course structure.
Event Properties
Event Date | 02-20-2023 8:00 am |
Event End Date | 02-24-2023 5:00 pm |
Registered | 0 |
Cut off date | 02-16-2023 |
Individual Price | USD 1,000 |
Location | Nairobi, Kenya |