Artificial Intelligence + Machine Learning (with – Internship | Project Letter)

Artificial Intelligence + Machine Learning (with – Internship | Project Letter)

Rs.30,000.00

18% GST Extra

Please login to purchase the course.

SKU: cid_209592 Category: Tag:

Training & Duration

  • Live classes (Monday to Thursday)
  • 4 Weeks of Training & 2 Weeks Project Work

Target Audience

  • B.Tech/MCA/BCA/M.Tech Students
  • Working Professionals from Corporate

Course Features

  • Online lectures: Online live lectures.
  • Updated Quality content: Content is the latest and gets updated regularly to meet the current industry demands.

Test & Evaluation

1. During the program, the participants will have to take all the assignments given to them for better learning.
2. At the end of the program, a final assessment will be conducted.

Certification

1. All successful participants will be provided with a certificate of completion.

2. Students who do not complete the course / leave it midway will not be awarded any certificate.

Fundamental knowledge of Python is required.

Topics to be covered
  • Introduction to Machine learning(ML)
  • Overview of major types: supervised and unsupervised
  • Major steps in ML, Overview of NumPy library
  • Lab: AIML Lab 1
  • Pandas, data structure in pandas: Series and DataFrame
  • Introduction to Matplotlib
  • Lab: AIML Lab 2
  • Linear Regression Algorithm, Mean squared error(MSE), R2_score
  • Lab: AIML Lab 3
  • Non-linear Regression, Overfitting, and Underfitting
  • Lab: AIML Lab 4
  • Introduction to KNN (K Nearest Neighbor), working of KNN, Decide the value of K, Accuracy score
  • Lab: AIML Lab 5
  • Evaluation technique for classification, confusion matrix, Recall, Precision
  • Hyper-parameter tuning using GridSearchCV
  • Lab: AIML Lab 6
  • Introduction to Logistic Regression, working of it, Binary classification and Multi-class classification
  • Lab: AIML Lab 7

Project: AIML Project - 1

  • Feature extraction, Bag of words, Countvectorizer and TfidfVectorizer
  • Lab: AIML Lab 8
  • Introduction to Naive Bayes algorithm and working of Naive Bayes algorithm
  • Lab: AIML Lab 9
  • SVM (support vector Machine), linear and Non-linear SVM, decide Hyperparamters C and kernel
  • Hyper-parameter tuning of C and kernel
  • Lab: AIML Lab 10
  • Introduction to Decision tree algorithm, Gini Index, Pruning technique
  • Lab: AIML Lab 11
  • What is a Random Forest algorithm? Working on it, and how does it differ from the decision tree?
  • Lab: AIML Lab 12
  • PCA, working of PCA, steps in PCA
  • Lab: AIML Lab 13

Project: AIML Project - 2

  • What is clustering?, K-means clustering algorithm, Elbow method
  • Lab: AIML Lab 14
  • Basic Overview of Neural Network, Single-layer Neural network, and Multi-layer neural Network
  • Keras API, Activation functions, feed-forward Neural network
  • Lab: AIML Lab 15
  • Basic Introduction to Convolutional Neural Network(CNN), CNN Architecture, Convolution layer, Pooling layer,
  • Dense layer
  • Lab: AIML Lab 16

Project: AIML Project - 3

Doubt clearing session

For inquiry call:  8953463074

Online Live Training Program 2023

', { 'anonymize_ip': true });