• Introduction To Machine Learning
• History and Evolution
• Artificial Intelligence Evolution
• Find out where Machine Learning is applied in Technology and Science

• Supervised Learning
• Unsupervised Learning

• Data Analysis Packages
• NumPy
• SciPy
• Matplotlib
• Pandas
• Slkearn

• Regression
• Classification
• Generalization, Overfitting, and Underfitting

• Classification

• Understand how continuous supervised learning is different from discrete learning.
• Code a Linear Regression in Python with scikit-learn.
• Understand different error metrics such as SSE, and R Squared in the context of Linear Regressions.

• k-Nearest Neighbor
• Linear models
• Naive Bayes Classifiers
• Decision trees
• Support Vector Machines

• Challenges in unsupervised learning
• Preprocessing and Scaling
• Applying data transformations
• Scaling training and test data the same way

• Principal Component Analysis (PCA)

• A revolution in Artificial Intelligence
• Limitations of Machine Learning
• What is Deep Learning?
• Advantage of Deep Learning over Machine learning

• How Deep Learning Works?
• Activation Functions
• Training a Perceptron
• TensorFlow code-basics
• Tensorflow data types
• Tensorflow methods
• Introduction to Neural Networks
• Neural Network Architecture
• Linear Regression example revisited
• The Neuron
• Neural Network Layers
• The MNIST Dataset
• Coding MNIST NN

• Understand the limitations of a Single Perceptron
• Deepening the network
• Convolutional Neural Networks
• ConvNet Architecture
• Overfitting and Regularization
• Max Pooling and ReLU activations
• Dropout
• Strides and Zero Padding
• Coding Deep ConvNets demo
• Visualizing NN using Tensorflow
• Tensorboard

• How to compose Models in Keras
• Sequential Composition
• Functional Composition
• Predefined Neural Network Layers

The program starts on June 02nd, 2021

Of Course !! The entire course is designed in such a way that you will learn each topic by executing real time projects. The best thing is that you will learn in form of practical case studies which helps you to easily connect with content making it easier to learn and you also get to do minimum of 10 projects with codes to implement and practice

Great Question !! Now this is where we are unique once you register you will be added in our whats app and telegram group where our trainers and other community members are available..in case if you have any queries you can get help immediately and we also conduct daily meetings to help you with your queries

The best part is that there are no prerequisite and anybody can learn this as we are covering from basics.

Once you register a mail will be sent to you with meeting details of 22 May. You need to attend the meeting and the course will be unlocked for you to access our course .You can also whats app us on 8429197412 once you register and one of our support staff will guide you

You get Two certificates 1. FDP 10 Days AI Course Completion Certificate after you complete the course which will be sent to your email within two days. 2. Record Participation certificate once the event is recognized by record books

The course is valid for life time and life time access weekly AI Community meeting

On the tenth day we will be conducting live quiz via app called kahoot. It works in the concept of fastest finger first in crorepathi show hosted by Mr.Amitab Bachan. So whoever comes on top three will get cash prices..

Every day during the webinar a question will be asked who ever answers first will get the reward. So ensure that you finish your daily content