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Machine Learning with Python - 45 Days Internship Training Program

Join 45 Days Machine Learning with Python Internship Training Program at NextVision Infotech. Learn Python, NumPy, Pandas, Scikit-learn, ML algorithms. ₹649 only with certificate.

45 Days
Anywhere in India • Patna • (Offline & Online)
INT-AIDS-ML-45D
Machine Learning with Python - 45 Days Internship Training Program Banner

Program Description

NextVision Infotech presents a comprehensive Machine Learning with Python Internship Training Program spanning 45 days. This intensive program is designed for students across all disciplines - B.Tech, B.E., BCA, MCA, B.Sc., Diploma, and other technical streams - who want to build a strong foundation in machine learning using Python. The program covers the complete machine learning lifecycle from data preprocessing to model deployment. Students will learn Python for data science, NumPy, Pandas, data visualization, exploratory data analysis, supervised learning, unsupervised learning, model evaluation, hyperparameter tuning, and model deployment. Over six weeks, the program progresses from fundamentals to advanced machine learning. Week 1 introduces Python for data science and NumPy. Week 2 covers Pandas and data visualization. Week 3 focuses on data preprocessing and exploratory data analysis. Week 4 covers supervised learning algorithms. Week 5 is dedicated to unsupervised learning, model evaluation, and live projects. Week 6 covers model deployment, documentation, viva, and certification. The program follows industry-standard workflows used by professional data scientists and machine learning engineers across India. Students work on real-world projects including predictive models, classification systems, recommendation engines, and customer segmentation. The curriculum draws inspiration from premier technical institutions across India and follows professional machine learning standards used in the tech industry. Students gain practical skills that prepare them for careers in data science, machine learning, and AI. This program is delivered both online and offline, allowing students from any state or city across India to enroll and benefit. The institute is ISO 9001:2015 certified, and the internship certificate is accepted by universities, colleges, and companies throughout the country. Upon successful completion, students receive an Internship Certificate, Industrial Training Certificate, Project Completion Certificate, and an Offer Letter. Learning outcomes include mastering Python for data science, building ML models, evaluating model performance, deploying ML applications, and creating a professional portfolio.

Skills You'll Learn

Python
NumPy
Pandas
Matplotlib
Seaborn
Scikit-learn
Machine Learning
Supervised Learning
Unsupervised Learning
Feature Engineering
Model Evaluation
Hyperparameter Tuning
XGBoost
Flask
Streamlit
Git & GitHub

Projects You'll Work On

Complete Machine Learning Project

Students will complete a full machine learning project including data collection, preprocessing, exploratory data analysis, feature engineering, model building, hyperparameter tuning, model evaluation, deployment, and complete project documentation as per industry standards.

Program Modules

1

W1: Week 1: Python for Data Science and NumPy

Introduction to machine learning, types of machine learning - supervised, unsupervised, reinforcement learning, Python for data science, Python data types, control flow, functions, object-oriented programming, NumPy fundamentals, NumPy arrays, array creation, indexing, slicing, reshaping, broadcasting, mathematical operations, statistical operations, linear algebra operations, random number generation, performance optimization, Jupyter Notebook, Google Colab, Anaconda, virtual environments.

2

W2: Week 2: Pandas and Data Visualization

Pandas fundamentals, Series, DataFrame, data loading - CSV, Excel, JSON, SQL, data inspection, data selection, indexing, filtering, sorting, grouping, aggregation, merging, joining, concatenation, pivot tables, cross-tabulation, time series analysis, date and time handling, data cleaning, handling missing values, data transformation, Matplotlib fundamentals, line plots, bar plots, histograms, scatter plots, pie charts, box plots, heatmaps, Seaborn, statistical data visualization, interactive visualization with Plotly.

3

W3: Week 3: Data Preprocessing and Exploratory Data Analysis

Data preprocessing, data cleaning, handling missing values - imputation techniques, outlier detection and treatment, feature scaling - normalization, standardization, robust scaling, encoding categorical variables - label encoding, one-hot encoding, ordinal encoding, target encoding, feature engineering, feature creation, feature transformation, feature selection - filter methods, wrapper methods, embedded methods, dimensionality reduction - PCA, t-SNE, LDA, exploratory data analysis (EDA), univariate analysis, bivariate analysis, multivariate analysis, correlation analysis, statistical hypothesis testing, data profiling.

4

W4: Week 4: Supervised Learning Algorithms

Supervised learning fundamentals, regression - linear regression, polynomial regression, ridge regression, lasso regression, elastic net, logistic regression, classification - k-nearest neighbors (KNN), decision trees, random forests, support vector machines (SVM), naive Bayes, gradient boosting, XGBoost, LightGBM, CatBoost, ensemble methods - bagging, boosting, stacking, voting, model evaluation metrics - regression metrics (MSE, RMSE, MAE, R²), classification metrics (accuracy, precision, recall, F1-score, ROC-AUC, confusion matrix), cross-validation, k-fold cross-validation, stratified k-fold, leave-one-out, hyperparameter tuning - grid search, random search, Bayesian optimization.

5

W5: Week 5: Unsupervised Learning, Model Evaluation, and Live Projects

Unsupervised learning fundamentals, clustering - k-means, hierarchical clustering, DBSCAN, Gaussian mixture models, association rule mining - Apriori, FP-Growth, market basket analysis, anomaly detection, isolation forest, one-class SVM, model selection, bias-variance tradeoff, underfitting, overfitting, regularization - L1, L2, dropout, early stopping, model interpretability - SHAP, LIME, feature importance, live projects - house price prediction, customer churn prediction, credit card fraud detection, customer segmentation, recommendation system, complete documentation.

6

W6: Week 6: Model Deployment, Documentation, Viva, and Certification

Model deployment, model serialization - pickle, joblib, ONNX, Flask API, FastAPI, Streamlit, Gradio, cloud deployment - AWS, GCP, Azure, Heroku, Docker basics, MLOps fundamentals, model monitoring, version control with Git and GitHub, project documentation, resume building, interview preparation, viva-voce examination, feedback session, certificate distribution.

Key Features

45 Days Comprehensive Training
Industry-Standard Curriculum
Live ML Projects
Professional Portfolio Development
ISO 9001:2015 Certified Institute
Offer Letter Provided
Internship Certificate Included
Industrial Training Certificate
Project Report Guidance
Viva-Voce Preparation
Online & Offline Mode
Pan-India Enrollment

What You'll Learn

Master Python for data science
Work with NumPy and Pandas
Perform data visualization and EDA
Preprocess and engineer features
Build supervised learning models
Build unsupervised learning models
Evaluate and tune ML models
Deploy ML models to production
Build a professional ML portfolio
Prepare for data science jobs across India

Examination Details

Exam Name Full Marks Pass Marks
Module-wise Assessment 100 40
Project Evaluation 100 50
Final Presentation 50 25
Viva-Voce 50 25
Machine Learning with Python - 45 Days Internship Training Program

Internship Details

Duration 45 Days
Location Anywhere in India • Patna • (Offline & Online)
Available Seats 100
Course Code INT-AIDS-ML-45D
Apply Now — ₹649

Prerequisites

  • Pursuing or completed B.Tech/B.E./BCA/MCA/B.Sc. in Computer Science, IT, or related field
  • Basic knowledge of programming concepts
  • Basic mathematics and statistics knowledge
  • Interest in machine learning

Who Can Enroll ?

  • B.Tech Computer Science students (1st to 8th semester)
  • B.E. IT students
  • BCA students (1st to 6th semester)
  • MCA students
  • B.Sc. Computer Science students
  • Data science aspirants
  • Working professionals wanting to upskill
  • Students from all over India seeking practical training

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