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Technical Domain

Machine Learning with Python

Build production-ready ML models with Python's top frameworks.

Duration
10 Weeks
Level
Intermediate
Mode
Self Paced
Modules
15
Price
3,100 5,000 38% OFF
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Technical Domain — Curriculum

15 Modules • 10 Weeks • Intermediate

Download the complete Navaloom curriculum for Machine Learning with Python or enroll now to start learning with mentor support, real-world projects and a government-recognized certificate.

PythonScikit-LearnTensorFlowData PreprocessingModel Deployment
Enroll Now
3,100 5,000

Why This Internship

Reasons to choose Machine Learning with Python

  • ML powers every product from Netflix to Google Maps

  • Python is the #1 language for ML — master it end-to-end

  • Build & deploy real ML models with modern MLOps practices

What You Will Learn

Skills you'll walk away with

Python
Scikit-Learn
TensorFlow
Data Preprocessing
Model Deployment
MLOps

Internship Syllabus

15-Module Detailed Curriculum

01
Module 1
Python Refresher
  • Data Structures
  • Functions
  • OOP
  • Libraries
02
Module 2
Math for ML
  • Linear Algebra
  • Probability
  • Calculus
  • Statistics
03
Module 3
Data Handling
  • Pandas
  • NumPy
  • Data Cleaning
  • Feature Scaling
04
Module 4
Data Visualization
  • Matplotlib
  • Seaborn
  • Plotly
  • EDA Techniques
05
Module 5
Supervised Learning
  • Regression
  • Classification
  • KNN
  • SVM
06
Module 6
Tree-Based Models
  • Decision Trees
  • Random Forest
  • Gradient Boosting
  • XGBoost & LightGBM
07
Module 7
Unsupervised Learning
  • Clustering
  • Dimensionality Reduction
  • PCA
  • t-SNE
08
Module 8
Model Evaluation
  • Metrics
  • Cross Validation
  • ROC-AUC
  • Confusion Matrix
09
Module 9
Feature Engineering
  • Encoding
  • Feature Selection
  • Handling Imbalance
  • Pipelines
10
Module 10
Intro to Deep Learning
  • Neural Nets
  • TensorFlow
  • Keras
  • Training Loops
11
Module 11
NLP Basics
  • Text Vectorization
  • Sentiment Analysis
  • TF-IDF
  • Word Embeddings
12
Module 12
Computer Vision Basics
  • Image Processing
  • CNNs
  • Pretrained Models
  • Transfer Learning
13
Module 13
Model Deployment
  • Flask/FastAPI
  • Streamlit
  • Docker
  • AWS/GCP
14
Module 14
MLOps Foundations
  • Versioning
  • CI/CD for ML
  • Monitoring
  • MLflow
15
Module 15
Capstone Project
  • End-to-End ML App
  • Deployment
  • Documentation
  • Presentation

Hands-On

Real-World Projects

  1. 1House Price Prediction
  2. 2Spam Email Classifier
  3. 3Handwritten Digit Recognizer
  4. 4Movie Sentiment Analyzer

Student Testimonials

What our alumni say

★★★★★

"The Machine Learning with Python program at Navaloom was practical, hands-on and completely changed my career trajectory."

Ananya Sharma
Placed at TCS
★★★★★

"Mentors were incredibly supportive and the capstone project helped me stand out in interviews."

Rohan Mehta
Placed at Infosys
★★★★★

"The curriculum was perfectly aligned with industry expectations. Highly recommended!"

Priya Nair
Placed at Wipro

Certification

Government-Recognized Certificate

MSME & AICTE Certified Machine Learning with Python Certificate + Internship Eligibility Letter, Letter of Recommendation and Placement Support.

Ready to start your Machine Learning with Python journey?

Enroll today and get certification, mentor support and placement assistance.

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