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Machine Learning Course

Instructor

Ravikant Tyagi

Course Fees

₹12500

Course Duration

2 Months

The moment you wake up till the moment you go to sleep you are using machine learning directly or indirectly. Every single second you are surrounded by machine learning applications. If you are using google, Facebook, YouTube, Instagram, LinkedIn, or any other application then it means you are using machine learning applications. So what exactly machine learning is…?

Machine learning is a type of artificial intelligence (AI) that allows software applications to become more accurate in predicting outcomes without being explicitly programmed. To understand machine learning clearly you need to have a mathematics background and a programming language (preferred Python) to implement those math formulas. It’s a deadly combination of math and programming. Topics of math like Statistics, Probability, Algebra, Euclidean Distance, Linear Regression and Calculus will be covered.

Machine Learning is heavily used in :- Image Processing for face recognition and object detection, Computational biology for tumor detection, drug discovery, Natural Language Processing for text classification and voice recognition apps. We will start this machine learning course with basics of data analysis and then go for math behind machine learning through python programming and build few awesome applications.

  • Life Cycle of Data Science
  • Setup Anaconda
  • Working with Jupyter and Spyder
  • Introduction to Web Crawling
  • Calling JSON API
  • Fetch Data From SQL
  • Convert into DataFrame
  • Reading Different File Formats like csv ,  excel , tsv , json and raw Text
  • Introduction To Data Analysis
  • Introduction To Numpy
  • Python List Vs Numpy Arrays
  • Different Ways To Create Array In Numpy
  • Handle Multi-Dimensional Array With Numpy
  • Introduction To Pandas
  • Data Analysis With Pandas
  • Series And Data Frames
  • Read CSV, Excel And Other Files With Pandas
  • Exploratory Data Analysis With Pandas
  • Statistical Analysis
  • Mean, Median, Mode, Range, Variance, Standard Deviation
  • Introduction To Data Visualization
  • Plot Graphs With Matplotlib
  • Plot Histograms, Bar Plot, Scatter Plot, Box Plot, Pie Charts Etc.
  • 2D And 3D Plots With Matplotlib
  • Introduction To Seaborn
  • Making Graphs More Attractive With Seaborn
  • Data Preprocessing With Pandas
  • Introduction To Scikit-Learn
  • Handle Missing Data
  • Label Encoding, One Hot Encoding
  • Feature Scaling
  • Cross Validation – Data Split Techniques
  • How Machine Learning Works
  • Flow Of Machine Learning
  • Different Types Of Machine Learning
  • Difference Between Supervised And Unsupervised Learning
  • Understanding Continuous And Categorical Data
  • Introduction To Regression
  • Simple And Multiple Linear Regression
  • Gradient Descent
  • Polynomial And Ridge Regression
  • Making Predictive Models
  • Logistic Regression
  • Predicting Categorical Data
  • K-Nearest Neighbors
  • Introduction To OpenCV
  • Face Detection And Recognition With OpenCV
  • Recommendation Systems
  • Support Vector Machines
  • Naïve Bayes
  • Decision Trees
  • Clustering – K-Means And Hierarchical
  • PCA, Dimensionality Reduction
  • Introduction To NLP
  • Installing NLTK
  • How NLP Works
  • Word And Sentence Tokenizer
  • Stopwords
  • Stemming
  • Lemmatizer
  • TF-IDF
  • Count Vectorizer
  • Text Classification With Naïve Bayes
  • Spam Classification Case Study
  • Sentiment Analysis

Training Features

Real Life Case Studies

Real Life Case Studies

Live project based on any of the selected use cases, using Industry Best Practices and concepts of Java, Java EE . It includes Development, Testing and Deployment of Application.

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Assignments

Assignments

Each class includes practical assignments which shall be finished before the next class and helps you to apply the concepts taught during the class.

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90% Practical 10% Theory

90% Practical 10% Theory

All the Things you are going to learn is Practical Hands on Based Approach 90% is Practical. So you will touch the depth of the Technology

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One Year Validity Of A Course

One Year Validity Of A Course

Your Course is Valid for a 1 Year duration , once you enroll in any Course, You can also re-join the new batches till 1 year to strong your concepts

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100% Placement Assistance

100% Placement Assistance

Provides Internships, Job Assistance to the Students.

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Trained By Software Professionals

Trained By Software Professionals

Our All Trainers are Software Professional's they worked on Top MNC's like Nucleus Software, HCL, IVP, UST Global and many more.

Know More

Real Life Case Studies

Real Life Case Studies

Live project based on any of the selected use cases, using Industry Best Practices and concepts of Java, Java EE . It includes Development, Testing and Deployment of Application.

Assignments

Assignments

Each class includes practical assignments which shall be finished before the next class and helps you to apply the concepts taught during the class.

90% Practical 10% Theory

90% Practical 10% Theory

All the Things you are going to learn is Practical Hands on Based Approach 90% is Practical. So you will touch the depth of the Technology

One Year Validity Of A Course

One Year Validity Of A Course

Your Course is Valid for a 1 Year duration , once you enroll in any Course, You can also re-join the new batches till 1 year to strong your concepts

100% Placement Assistance

100% Placement Assistance

Provides Internships, Job Assistance to the Students.

Trained By Software Professionals

Trained By Software Professionals

Our All Trainers are Software Professional's they worked on Top MNC's like Nucleus Software, HCL, IVP, UST Global and many more.

FAQ

Yes! You can attend a One Demo class free of Cost.

All Classes sessions are recorded in HD Quality , so if you miss a class so you can watch the recordings.

100 % Placement Assistance.

All our Trainers are Software Professionals, Having 7 to 15 Years’ of Experience. All Trainers worked with Top Brands.

Feel free to contact us on :

7042434524

01145138947

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