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The Validation Set Approach Leave-One-Out Cross-Validation.Accuracy Estimation using Decision TreesĬase Study: A Case Study on Decision Tree using Python.Regression Trees and Classification Trees.Bernoulli Naive Bayes and Gaussian Naive Bayes.Evaluation Metrics for Classification Models:.

Logistic Regression for >2 Response Classes.

Setting the threshold and understanding decision boundary.

Estimating the Regression Coefficients and Making Predictions.

Difference Between Regression and classification Models.

Case Study on Linear, Multiple Linear Regression, Polynomial, Regression using PythonĬAPSTONE PROJECT: A project on a use case will challenge the Data Understanding, EDA, Data Processing, and above Regression Techniques.

Non-linear Transformations of the Predictors.

Other Considerations in the Regression Model.

Homoscedasticity and Heteroscedasticity of error terms.

Regression Versus Classification Problems Assessing Model AccuracyĮvaluating the Metrics of Regression Techniques.

Supervised Versus Unsupervised Learning.

Sampling variability and Central Limit Theorem.

Normal Distribution, Standard Normal Distribution.

Bernoulli, Binomial Distribution, Poisson Distribution.

What is Univariate and Bi Variate Analysis?.

Stratified Sampling, Systematic Sampling, and Cluster Sampling.

Convenience Sampling, Simple Random Sampling.

How is Statistics used in Data Science?.

This project covers the main four steps of the Data Science Life Cycle which involves.Įx: Text, CSV, TSV, Excel Files, Matrices, Images This project starts completely from scratch which involves the collection of Raw Data from different sources and converting the unstructured data to a structured format to apply Machine Learning and NLP models. PROJECT ON WEB SCRAPING: DATA MINING and EXPLORATORY DATA ANALYSIS

BUSINESS INTELLIGENCE TRAINING AND PLACEMENT HOW TO

How to Regular Expressions using Pandas?.More on Seaborn based Plotting Including Pair Plots, Catplot, Heat Maps, Count plot along with matplotlib plots.Indexing and slicing and More filtering with Conditional Slicingĭata Visualization using Matplotlib and PandasĬase Study on Exploratory Data Analysis (EDA) and Visualizations.Data Importing and Exporting through Excel, CSV Files.

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