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Best Data Mining Training Company in Gurdaspur
Importance of Data Mining?
Data mining enables us to extract useful data, analyse it, and ultimately generate meaningful information from the data. This knowledge allows an organisation to make more informed decisions that will help it make more sales. Data mining can also be used to investigate client behaviour and decision-making in great detail. Data mining information may be highly beneficial and effective in developing various marketing plans and commercials.
Best 6 months/weeks Data Science Industrial Training in Gurdaspur
One must possess the necessary skills to meet organisational standards if one is serious about a profession as a data mining analyst. Learn these skills at CBA Infotech, which offers the best data mining industrial training in Gurdaspur, where our team of highly qualified specialists enhances the quality and capabilities necessary to establish your standard in this field. The best six months/weeks of industrial data mining training in Gurdaspur developed by CBA Infotech will give your abilities wings, give your career a jump start, and ensure that you succeed in this constantly expanding and competitive area.
Benefits of Data Mining Training from CBA Infotech
One must possess the necessary skills to meet organisational standards if one is serious about a profession as a data mining analyst. Learn these skills at CBA Infotech, which offers the best data mining industrial training in Gurdaspur, where our team of highly qualified specialists enhances the quality and capabilities necessary to establish your standard in this field. The best six months/weeks of industrial data mining training in Gurdaspur developed by CBA Infotech will give your abilities wings, give your career a jump start, and ensure that you succeed in this constantly expanding and competitive area.
Data Mining Industrial Training – Course Content
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
- Knowledge Representation Methods
- Applications
- Example: weather data
Data Warehouse and OLAP
- What is data mining?
- Related technologies – Machine Learning, DBMS, OLAP, Statistics
- Data Mining Goals
- Stages of the Data Mining Process
- Data Mining Techniques
- Knowledge Representation Methods
- Applications
- Example: weather data
Data Preprocessing
- Data cleaning
- Data transformation
- Data reduction
- Discretization and generating concept hierarchies
- Installing Weka 3 Data Mining System
- Experiments with Weka – filters, discretization
Advanced Techniques, Data Mining Software and Applications
- Text mining: extracting attributes (keywords), structural approaches (parsing, soft parsing).
- Bayesian approach to classifying text
- Web mining: classifying web pages, extracting knowledge from the web
Evaluating What’s Been Learned
- The prediction task
- Statistical (Bayesian) classification
- Bayesian networks
- Instance-based methods (nearest neighbor)
- Linear models
- Experiments with Weka – Prediction
Data Mining Knowledge Representation
- Task relevant data
- Background knowledge
- Interestingness measures
- Representing input data and output knowledge
- Visualization techniques
- Experiments with Weka – visualization
Attribute-Oriented Analysis
- Attribute generalization
- Attribute relevance
- Class comparison
- Statistical measures
- Experiments with Weka – using filters and statistics
Data Mining Algorithms: Association Rules
- Motivation and terminology
- Example: mining weather data
- Basic idea: item sets
- Generating item sets and rules efficiently
- Correlation analysis
- Experiments with Weka – mining association rules
Clustering
- Basic issues in clustering
- First conceptual clustering system: Cluster/2
- Partitioning methods: k-means, expectation-maximization (EM)
- Hierarchical methods: distance-based agglomerative and divisible clustering
- Conceptual clustering: Cobweb
- Experiments with Weka – k-means, EM, Cobweb
Data Mining Algorithms: Prediction
- The prediction task
- Statistical (Bayesian) classification
- Bayesian networks
- Instance-based methods (nearest neighbor)
- Linear models
- Experiments with Weka – Prediction
Mining Real Data
- Preprocessing data from a real medical domain (310 patients with Hepatitis C).
- Applying various data mining techniques to create a comprehensive and accurate model of the data.
Cba Infotech Gurdaspur | Computer | IT Training | Programming | Coding | Placement4.9Based on 315 reviews
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Nehal Gupta16:14 12 Sep 22I joined this institute . My all over experience is very good. The knowledge given by the sir is very helpful to me & during training they solve thought related the topic. Thank you. The staff was really cooperative and motivating helped to gain confidence and more experience in the field of IT
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Vipin
29/09/2022
5/5
Python Trainig in Gurdaspur
I completed my Python Training from CBA Infotech. They have a expert trainer who assist us the difficult concepts in very easy manner.good place for learning. Overall nice experience.
Sneha
16/08/2022
5/5
Best Python Trainig Centre in Gurdaspur
I finished my training in Python and gained a Iot knowledge under the guidance of experts. Really nice and updated course module. I will suggest you to look at it once.
Suraj
29/07/2022
5/5
Python Trainig in Gurdaspur
Hey I am Suraj, I completed my python summer training in this institute.I learnt a lot of things from here. I want to again join this institute,it is a good place for learning, good environment, good staff.
Drishti Grover
29/06/2022
5/5
Best Institute in Gurdaspur
This is the best company with good and cooperative staff specially sandeep sir who guided very well and has the good quality of leadership and I think one can experience a lot from this company and explore new things !!