data science & machine learning using python
TRANSCRIPT
Data Science & Machine LearningUsing Python
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Introduction To Python
Why PythonApplication areas of pythonPython implementations Cpython Jython Ironpython PypyPython versionsInstalling pythonPython interpreter architecture Python byte code compiler Python virtual machine(pvm)
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Python
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Writing and Executing First Python Program
Using interactive modeUsing script mode General text editor and command window Idle editor and idle shell Understanding print() function How to compile python program explicitly
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Python Language Fundamentals
Character setKeywordsCommentsVariablesLiteralsOperatorsReading input from consoleParsing string to int, float
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Python Conditional Statements
If statementIf else statementIf elif statementIf elif else statementNested if statement
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Looping Statements
While loopFor loopNested loopsPass, break and continue keywords
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Standard Data Types
Int, float, complex, bool, nonetypeStr, list, tuple, rangeDict, set, frozenset
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Duration: 4.5 Months
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String Handling
What is stringString representationsUnicode stringString functions, methodsString indexing and slicingString formatting
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Python List
Creating and accessing listsIndexing and slicing listsList methodsNested listsList comprehension
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Python Tuple
Creating tupleAccessing tupleImmutability of tuple
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Python Set
How to create a setIteration over setsPython set methodsPython frozenset
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Python Dictionary
Creating a dictionaryDictionary methodsAccessing values from dictionaryUpdating dictionaryIterating dictionaryDictionary comprehension
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Python Functions
Defining a functionCalling a functionTypes of functionsFunction arguments Positional arguments, keyword arguments Default arguments, non-default arguments Arbitrary arguments, keyword arbitrary argumentsFunction return statementNested functionFunction as argumentFunction as return statementDecorator functionClosureMap(), filter(), reduce(), any() functionsAnonymous or lambda function
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Modules & Packages
Why modulesScript v/s moduleImporting moduleStandard v/s third party modulesWhy packagesUnderstanding pip utility
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File I/O
Introduction to file handlingFile modesFunctions and methods related to file handlingUnderstanding with block
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Object Oriented Programming
Procedural v/s object oriented programmingOOP principlesDefining a class & object creationObject attributesInheritanceEncapsulationPolymorphism
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Exception Handling
Difference between syntax errors and exceptionsKeywords used in exception handling try, except, finally, raise, assertTypes of except blocks
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Regular Expressions(Regex)
Need of regular expressionsRe moduleFunctions /methods related to regexMeta characters & special sequences
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GUI Programming
Introduction to tkinter programmingTkinter widgets Tk, label, Entry, Textbox, Button Frame, messagebox, filedialog etcLayout managersEvent handlingDisplaying image
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Multi-Threading Programming
Multi-processing v/s Multi-threadingNeed of threadsCreating child threadsFunctions /methods related to threadsThread synchronization and locking
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Introduction to Database
Database Concepts What is Database Package? Understanding Data StorageRelational Database (RDBMS) Concept
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SQL
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l�SQL basicsDML, DDL & DQLDDL: create, alter, dropSQL constraints: Not null, unique, Primary & foreign key, composite key Check, defaultDML: insert, update, delete and mergeDQL : selectSelect distinctSQL whereSQL operatorsSQL likeSQL order bySQL aliasesSQL viewsSQL joins Inner join Left (outer) join Right (outer) join Full (outer) join
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SQL (Structured Query Language)
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l�Mysql functions String functions Char_length Concat Lower Reverse Upper Numeric functions Max, min, sum Avg, count, abs Date functions Curdate Curtime Now
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Introduction to Statistics
Sample or populationMeasures of central tendency Arithmetic mean Harmonic mean Geometric mean Mode Quartile First quartile Second quartile(median) Third quartile Standard deviation
Statistics, Probability & Analytics:
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Probability Distributions
Introduction to probabilityConditional probabilityNormal distributionUniform distributionExponential distributionRight & left skewed distributionRandom distributionCentral limit theoreml�
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Hypothesis Testing
Normality testMean test T-test Z-test ANOVA testChi square testCorrelation and covariance
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Numpy Package
Difference between list and numpy arrayVector and matrix operationsArray indexing and slicing
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Introduction to pandas
Labeled and structured dataSeries and dataframe objects
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Pandas Package
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How to load datasets
From excelFrom csvFrom html table
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Accessing data from Data Frame
at & iatloc & ilochead() & tail()
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Exploratory Data Analysis (EDA)
describe()groupby()crosstab()boolean slicing / query()
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Data Manipulation & Cleaning
Map(), apply()Combining data framesAdding/removing rows & columnsSorting dataHandling missing valuesHandling duplicacyHandling data error
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Handling Date and Time
Data Visualization using matplotlib and seaborn packages
l�Scatter plot, lineplot, bar plotHistogram, pie chart, Jointplot, pairplot, heatmapOutlier detection using boxplot
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Introduction To Machine Learning
Traditional v/s Machine Learning ProgrammingReal life examples based on MLSteps of ML ProgrammingData Preprocessing revisedTerminology related to ML
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Machine Learning:
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Supervised Learning
Classification Regressionl�
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KNN Classification
Math behind KNNKNN implementationUnderstanding hyper parameters
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Performance metrics
Math behind KNNKNN implementationUnderstanding hyper parameters
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Unsupervised Learning
clustering
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Regression
Math behind regressionSimple linear regressionMultiple linear regressionPolynomial regressionBoston price predictionCost or loss functions Mean absolute error Mean squared error Root mean squared error Least square errorRegularization
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Logistic Regression for classification
Theory of logistic regressionBinary and multiclass classificationImplementing titanic datasetImplementing iris datasetSigmoid and softmax functions
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Support Vector Machines
Theory of SVMSVM Implementationkernel, gamma, alpha
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Decision Tree Classification
Theory of decision treeNode splittingImplementation with iris datasetVisualizing tree
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Ensemble Learning
Random forestBagging and boostingVoting classifier
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Model Selection Techniques
Cross validationGrid and random search for hyper parameter tuningl�
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Recommendation System
Content based techniqueCollaborative filtering techniqueEvaluating similarity based on correlationClassification-based recommendations
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Clustering
K-means clusteringHierarchical clusteringElbow techniqueSilhouette coefficientDendogram
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Text Analysis
Install nltkTokenize wordsTokenizing sentencesStop words customizationStemming and lemmatizationFeature extractionSentiment analysisCount vectorizerTfidfvectorizerNaive bayes algorithms
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Dimensionality Reduction
Principal component analysis(pca)
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Open CV
Reading imagesUnderstanding gray scale imageResizing imageUnderstanding haar classifiersFace, eyes classificationHow to use webcam in open cvBuilding image data setCapturing videoFace classification in videoCreating model for gender prediction
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Tableau - Home
Tableau - overviewTableau - environment setupTableau - get startedTableau - navigationTableau - design flowTableau - file typesTableau - data typesTableau - show meTableau - data terminology
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Tableau
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Tableau - Data Sources
Tableau - custom data viewTableau - data sourcesTableau - extracting dataTableau - fields operationsTableau - editing metadataTableau - data joiningTableau - data blending
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Tableau – Work Sheet
Tableau - add worksheetsTableau - rename worksheetTableau - save & delete worksheetTableau - reorder worksheetTableau - paged workbook
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Tableau – Calculation
Tableau - operatorsTableau - functionsTableau - numeric calculationsTableau - string calculationsTableau - date calculationsTableau - table calculationsTableau - lod expressions
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Tableau – Sorting & Filter
Tableau - basic sortingTableau - basic filtersTableau - quick filtersTableau - context filtersTableau - condition filtersTableau - top filtersTableau - filter operations
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Tableau - Charts
Tableau - bar chartTableau - line chartTableau - pie chartTableau - crosstabTableau - scatter plotTableau - bubble chartTableau - bullet graphTableau - box plotTableau - tree mapTableau - bump chartTableau - gantt chartTableau - histogramTableau - motion chartsTableau - waterfall chartsTableau - dashboard
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Projects
One project using python & sqlOne project using python & mlOne dashboard using tableau
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Partners :
PITAMPURA (DELHI)NOIDAA-43 & A-52, Sector-16,
GHAZIABAD1, Anand Industrial Estate, Near ITS College, Mohan Nagar, Ghaziabad (U.P.)
GURGAON1808/2, 2nd floor old DLF, Near Honda Showroom, Sec.-14, Gurgaon (Haryana)
SOUTH EXTENSION
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