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    Data Science/MachineLearning Project Deployment Mastery

    BY
    Udemy

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    Mode

    Online

    Fees

    ₹ 385 2240

    Quick Facts

    particular details
    Medium of instructions English
    Mode of learning Self study
    Mode of Delivery Video and Text Based

    Course and certificate fees

    Fees information
    ₹ 385  ₹2,240
    certificate availability

    Yes

    certificate providing authority

    Udemy

    The syllabus

    Course Overview

    • Course Curriculum

    Introduction To Jupyter Notebook

    • Jupyter Notebook: Getting Started With Anaconda
    • Jupyter Notebook: Code Vs Markdown Vs Raw
    • Jupyter Notebook: Working With Text
    • Jupyter Notebook: Working With Code(Saving & Exporting Notebook)

    Introduction To Google Colab

    • Google Colab: Overview
    • Google Colab: Working With Text
    • Google Colab: Saving & Exporting Notebook
    • Guide To Setup Jupyter Notebook(Anaconda) and Google Colab
    • Loading Dataset In Colab

    Python For Data Science And Machine Learning

    • Lecture Resources
    • Introduction to Python
    • Data Types In Python
    • List In Python
    • Operations On Python List-Split,Count,Index, Reverse,Append,Remove,Pop,Sort,Copy
    • Range in Python
    • List Comprehension In Python
    • Dataframe In Python
    • SET In Python
    • Dictionary In Python
    • Functions In Python
    • Conditional Statements In Python

    Numpy

    • Introduction To Numpy
    • Operations On Numpy
    • Indexing And Slicing 1
    • Indexing And Slicing 2
    • Numpy Assignment

    Pandas

    • Pandas Dataframe 1: Series
    • Iloc and Loc For Pandas Dataframe
    • Pandas Dataframe
    • Operations On Pandas Dataframe: Slicing Columns, Adding/Drop Columns and Rows
    • Operations On Pandas DataFrame: Setting Column Index, Rename DataFrame Columns
    • Reading Dataset In Pamdas
    • Working With Dataset: Checking for Missing/Null Values, Head of dataset,Describe
    • Working With Dataset: Fillna, Sorting,Value_Counts,Concatenation,Join&Merge
    • Join And Merge In Pandas
    • Pandas Exercise

    Data Visualisation: MatplotIib And Seaborn

    • Data Visualisation: Matplotlib and Seaborn
    • Data Visualisation 2
    • Data Visualisation 3
    • Univariate Data Analysis
    • Bivariate And Multivariate Data Analysis
    • Data Visualisation Assignment

    Python Assignment

    • Python Assignment

    Statistics For Data Science And Machine Learning

    • Lecture Resources
    • Overview
    • Statistical Methods
    • Data Types
    • Data Sources | Common Statistical Terms
    • Frequency Distribution
    • Central Tendency (Mean, Median, Mode)
    • Measure Of Dispersion
    • The Five(5) Number Summary
    • Correlation
    • Probability
    • Baye's Theorem
    • Normal Distribution-Empirical Rule | Central Limit Theorem | Skewness
    • Hypothesis Testing
    • Statistics Exercise

    Machine Learning

    • Lecture Resources
    • Introduction
    • Applications Of Machine Learning

    Supervised Machine Learning

    • Supervised Machine Learning
    • Difference Between Regression And Correlation

    Linear Regression

    • Linear Regression
    • Lab Session 1: Exploratory Data Analysis(EDA)
    • Lab Session 2: EDA| Dealing With Categorical And Missing Values
    • Lab Session 3: Building Linear Regression Model
    • Linear Regression Assignment

    Logistic Regression

    • Introduction 1
    • Introduction 2
    • Lab Session 1: Exploratory Data Analysis(EDA)
    • Lab Session 2: Exploratory Data Analysis(EDA)
    • Lab Session 3: Building Logistic Regression Model
    • Logistic Regression Assignment

    Naive Bayes Classifier

    • Introduction
    • Lab Session

    K-Nearest Neighbor (KNN)

    • Introduction
    • KNN Distance Measures
    • Lab Session
    • Lab Session: Building KNN Model
    • Choosing K In K-NN
    • KNN Assignment

    Support Vector Machine (SVM)

    • Introduction
    • Dealing With Linearly Inseparable Points
    • Lab Session 1: Exploratory Data Analysis(EDA)
    • Lab Session 2: Building A Support Vector Machine (SVM) Model

    Unsupervised Machine Learning: Clustering

    • Difference Between KNN and K-Means Algorithms

    K-Means Clustering

    • What Is K-Means Clustering?
    • Lab Session 1: Exploratory Data Analysis(EDA)
    • Choosing K in K-Means-The Elbow Method

    Hierarchical Clustering

    • Introduction
    • Dendrograms And Cophenetic correlation
    • Lab Session

    Unsupervised Learning Project

    • Assignments for Unsupervised Machine learning

    Hands-On Project

    • Introduction

    Breast Cancer Detection Using SVM And KNN

    • Lecture Resources
    • Introduction
    • Summary Of Dataset
    • Data Preprocessing
    • Exploratory Data Analysis (EDA)
    • Model Building

    Bank Note Analysis

    • Introduction
    • Lecture Resources
    • Bank Note Analysis-EDA
    • Bank Note Analysis-Getting Our Dataset Ready For Model Building
    • Model Building 1
    • Model Building 2
    • Model Building 3

    Predicting Compressive Strength of Concrete-(Compare performance of 18 models)

    • Lecture Resources
    • Introduction
    • Data Preprocessing
    • Exploratory Data Analysis (EDA) 1
    • Exploratory Data Analysis (EDA) 2
    • Feature Engineering
    • Model Building 1
    • Model Building 2

    Credit Card Fraud Detection-(Dealing With Data Imbalance)

    • Introduction
    • Exploratory Data Analysis (EDA)
    • Model Building 1
    • Model Building 2

    Stock Market Clustering Using K-Means Algorithm

    • Lecture Resources
    • Introduction
    • Data Extraction And Analysis
    • Model Building

    BigMart Sales Prediction

    • Lecture Resources
    • Introduction
    • Exploratory Data Analysis (EDA)
    • Feature Engineering, Selection And Transformation
    • Model Building

    Amazon Employee Access Challenge

    • Lecture Resources
    • Introduction
    • Exploratory Data Analysis (EDA)
    • Model Building 1
    • Model Building 2

    Project Assignment

    • Based on the given data, will a customer subscribe to a term deposit or not?

    Streamlit Project

    • Lecture Resources
    • Streamlit Demo
    • Introduction to Streamlit 1
    • Introduction to Streamlit 2
    • Introduction to Streamlit 3
    • Building Your First Streamlit App
    • Building Your First Streamlit App-Advance 1
    • Building Your First Streamlit App-Advance 2
    • Building Your First Streamlit App-Advance 3
    • Project Assignment

    Flask Tutorial

    • Introduction To Flask
    • Create Your First Flask App
    • Create Your First Flask App: Linking HTML File
    • Create Your First Flask App: Linking CSS File

    Flask PROJECT and DEPLOYMENT

    • Lecture Resources
    • Flask Introduction
    • Introduction to Dataset
    • Exploratory Data Analysis (EDA)
    • Model Building
    • Hands-On With Flask
    • Creating The Necessary Folders
    • Creating Folder Contents
    • Final Deployment
    • Project Assignment

    Heroku Deployment

    • Lecture Resources
    • Heroku Introduction
    • Exploratory Data Analysis (EDA)
    • Feature Engineering
    • Further Data Preparation
    • Model Building And Hyperparameter Tuning
    • Heroku Deployment 1
    • Heroku Deployment 2
    • Project Assignment

    Google Cloud Deployment

    • Lecture Resources
    • Google Cloud Introduction
    • GCP Deployment Lesson
    • Project Assignment

    Amazon Web Service(AWS) Deployment

    • Lecture Resources
    • AWS Introduction
    • Dataset
    • App.py File
    • PART 1
    • PART 2
    • Project Assignment

    Microsoft Azure Deployment

    • Lecture Resources
    • Azure Deployment
    • Project Assignment

    Final Project

    • Introduction
    • Final Machine Learning Project

    Instructors

    Mr Briit
    Instructor
    Udemy

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