Data Mining With Machine Learning Course in Chandigarh

 

Data Mining With Machine Learning Course in Chandigarh – Problab Technology in Chandigarh provides the best Data Mining With Machine Learning Course in Chandigarh

Data Mining With Machine Learning Course in Chandigarh is designed to provide a wholistic understanding of various ML algorithms with high level theory and hands on application of ML algorithms to classes data sets. This course is delivered in the city of chandigarh in the traditional class training along with online content and project support.

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Data Mining With Machine Learning Course in Chandigarh

Career opportunities in chandigarh for Data Science is huge as demand for qualified Machine Learning profession is very high. Machine Learning trainees are paid with starting salary in 10 LPA.

Data Mining With Machine Learning Course in Chandigarh – Course Objectives

  • Access the knowledge through International Association of Business Analytics (IABAC™) framework.
  • Hands on coding of popular ML algorithms on classic data sets
  • Introduce Machine Learning with wholistic approach.
  • Discuss high level theory of popular Machine Learning Algorithms

Course Prerequisites

  • Introduce Machine Learning with wholistic
  • Access the knowledge through International Association of Business Analytics (IABAC™) framework.
  • Hands on coding of popular ML algorithms on classic data sets
  • Discuss high level theory of popular Machine Learning Algorithms

Who should choose this course – Machine Learning Foundation?

This course is a foundation level course, so most of the aspiring Machine Learning candiates can opt for this course

  • Professionals aspiring to pursue career in Machine Learning or Data Science in general
  • Fresh colleague graduates, who are looking to career options in Data Science
  • Candidates pursuing Data Scientist tracks
  • Senior professionals, who want gain solid foundation on Machine Learning to manager Data Science projects

Advantages of Machine Learning Foundation

  • This course provides a solid foundation in Machine Learning as the syllabus is aligned with international market requirements.
  • The candidates attending this course gain a right perspective on ML rather than getting lost in the ocean of articles and tutorials on the internet.
  • As a part of the course, an certification assessment is conducted and candidate achieving minimum qualifing score receive a global certification, carring immense value of the testimony of their ML knowledge.

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Syllabus – Data Mining With Machine Learning Course in Chandigarh

Basics

  • Statistics for business decision making: first, second, third and fourth moment
    business decisions
  • Random variables, probability distributions
  • Graphical representation of data: histograms, box plot, bar chart
  • Normal distribution
  • Sampling and CLT
  • Hypothesis testing
  • ANOVA

Simple Linear Regression and Multiple Linear Regression

  • Scatter plot, covariance, correlation, causation
  • P-values, R2, adjusted R2
  • Deletion diagnostics
  • Plots: fitted values vs. residuals, regressors vs residuals, normal probability plot
    Collinearity
  • Dummy variables, transformations of variables
  • Heteroscedastisity
  • Autocorrelation

Generalized Regression Models

  • Logistic regression
  • Poisson regression
  • Negative binomial regression

Imputation Techniques (missing value analysis)

  • Missing value patterns
  • List wise and pair wise deletion
  • Imputation methods

Forecasting

  • Types, methods
  • Data patterns
  • Forecasting techniques, errors, adequacy
  • Components of time series, trend and seasonal adjustments, smoothing
    AR and MA models
  • ARIMA
  • Linear regression – model fitting and forecasting
  • Multiple regression – model fitting and forecasting
  • Forecasting binary outcomes
  • ARCH and GARCH models

Data Mining

  • Unsupervised Learning
  •  Dimension reduction techniques: PCA and SVD
  • Association rules
  • Recommender systems
  • Network analytics
  •  Cluster analysis: Hierarchical and K-means
  • Supervised Learning (machine learning)
  • Classification algorithms
  • Decision trees
  • K-nearest neighbors
  •  Naïve Bayes
  •  Logistic regression
  • Neural networks
  •  Support vector machines
  • Model validation and interpretation
  •  Multiclass classification
  •  Bagging (random forest) and boosting (gradient boosted decision tree)
  •  Regression analysis

Text mining

  • Tweets analysis
  • World cloud
  • Semantic analysis

Batch Timing- Every Week New Batch Starts

  • Weekdays – Monday to Friday
  • Timings:- 8 AM – 9 PM

Contact Details

Name: Problab Technologies Pvt. Ltd.

Address: SCO: 54-55, 3rd Floor, Sector 34-A Chandigarh

Contact Number:  +91-9878873077, +91-9878375376

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Our Office Location

Office Location Chandigarh, India

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Speak to us +91(985)777-3077

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Email Us

Mail us info@problab.com