A Small Guide on Internet of Things (IoT)

Description About

IOT ( Internet of Thing)

Data Science is an essential part of many industries today, given the massive amounts of data that are produced, and is one of the most debated topics in IT circles. Its popularity has grown over the years, and companies have started implementing data science techniques to grow their business and increase customer satisfaction. In this course, we’ll cover all the topics for Data Science 

What this Program offers

Get the freedom to choose what, where and when to start your learning journey

You will now be able to finish your targets on your own learning pace

Now its time to get equip yourself with the lessons, mentored, by The Tech Destiny Mentors

Your hard work and dedication will be awarded by certificates that will be recognized by The Tech Destiny

Topics will be Covered In this Course

  • Introduction to Python
  • Objects and Data Structure(String, List Tuple, dictionary, sets, and Booleans)
  • Statements in Python(If else, for loop and while loop)
  • Functions in python
  • Modules and packages
  • Basic built-in python modules
  • Introduction to Python
  • Objects and Data Structure(String, List Tuple, dictionary, sets, and Booleans)
  • Statements in Python(If else, for loop and while loop)
  • Functions in python
  • Modules and packages
  • Basic built-in python modules
  • Acquiring and importing the dataset
  • Handling the missing values
  • Handling Categorical Features
  • Feature engineering and Feature selection(Importance)
  • Scaling and Normalizing the data
  • Data Decomposition and split
  • Answering Questions through data
  • Data Visualization (line, scatter plots, )
  • Analyze various aspects of the data
  • Statistical Analysis
  • Correlation Analysis (positive and negative correlation, multicollinearity)
  • Creating All Machine learning Models (Theory and Code Implementation)
  • Regression: From Scratch and with modules
  • Linear regression
  • Polynomial Regression
  • Multiple Linear Regression
  • Classification
  • KNN (K- Nearest Neighbor)
  • SVM (Support Vector Machine)
  • Logistic Regression
  • Decision Tree
  • Random Forest
  • Naive Bayes
  • Parameter Optimization using Grid Search
  • Toggle Content Model Evaluation with various parameters
  • SE, MSE, MAE, RMSE, R2 score, etc.
  • Confusion Matrix, Accuracy, Precession, Recall, F1 Score
  • K-fold Cross Validation
  • What is Dashboarding?
  • Creating dashboards and Reports
  • Creating a web app for your model
  • Deploying your model App into localhost

Choose Your Plan

Industry Expert
Session

Redirect Your Destiny

₹ 11,999

Live Class

Problem Solving Assessments

Doubt Session

Certification

Letter of Recommendation

LMS access

Capstone Projects 2

Self Expert
Session

Redirect Your Destiny

₹ 6,499

45+ Recorded Session

Problem Solving Assessments

Doubt Session

Certification

Letter of Recommendation

LMS access

Capstone Projects 2

Certified Courses

Industry Verified Certificates

 

Upgrade your Resume

 

Performance-Based Recognition

 

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