Master Python Training

Unlock Your Potential in Backend Systems, AI, Data Science, and Automation!

courses

Python Data Science & AI/ML Job-Oriented Training Course

Become a Data Science Expert and Start Your AI/ML Career

Fees: ₹25,000 + GST (₹4500)

Module 1: Introduction to Data Science and Python

  • Overview of Data Science and AI/ML
  • Importance of Python in Data Science
  • Setting Up the Python Environment (Anaconda, Jupyter)
  • Basic Python Syntax for Data Science
  • Python Libraries for Data Science (NumPy, Pandas, Matplotlib, Seaborn)

Module 2: Data Preprocessing and Exploration

  • Handling Missing Data
  • Data Cleaning and Transformation
  • Exploratory Data Analysis (EDA)
  • Feature Selection and Engineering
  • Outlier Detection and Removal
  • Data Visualization Techniques

Module 3: Machine Learning Fundamentals

  • Introduction to Machine Learning
  • Supervised vs Unsupervised Learning
  • Understanding the ML Workflow
  • Model Evaluation Metrics (Accuracy, Precision, Recall, F1 Score)
  • Cross-Validation and Hyperparameter Tuning

Module 4: Supervised Learning Algorithms

  • Linear Regression
  • Logistic Regression
  • Decision Trees and Random Forests
  • Support Vector Machines (SVM)
  • k-Nearest Neighbors (k-NN)
  • Naive Bayes Classifier

Module 5: Unsupervised Learning and Clustering

  • Clustering Basics
  • k-Means Clustering
  • Hierarchical Clustering
  • Principal Component Analysis (PCA)
  • DBSCAN

Module 6: Deep Learning and Neural Networks

  • Introduction to Deep Learning
  • Building Neural Networks
  • Feedforward Neural Networks (FNN)
  • Backpropagation and Gradient Descent
  • Convolutional Neural Networks (CNN)
  • Recurrent Neural Networks (RNN) and LSTMs
  • Introduction to TensorFlow and Keras

Module 7: Natural Language Processing (NLP)

  • Introduction to NLP
  • Text Preprocessing and Tokenization
  • Word Embeddings (Word2Vec, GloVe)
  • Sentiment Analysis
  • Named Entity Recognition (NER)
  • Building NLP Models

Module 8: Project Work and Job Readiness

  • Real-World Data Science Projects
  • End-to-End Machine Learning Projects
  • Job Interview Preparation
  • Resume Building and LinkedIn Optimization
  • Mock Interviews and Feedback

Conclusion

By the end of this training, you will be proficient in Python for Data Science and Machine Learning, capable of solving complex real-world problems using AI and ML techniques, and prepared for the job market with industry-relevant skills.