AI & Machine Learning - 15 Days Internship Training Program
Join 15 Days AI & Machine Learning Internship Training Program at NextVision Infotech. Learn Python, NumPy, Pandas, Scikit-learn, ML algorithms, model deployment. ₹199 only with certificate.
Program Description
Skills You'll Learn
Projects You'll Work On
Complete AI & Machine Learning Mini Project
Students will complete a mini ML project including data collection, preprocessing, exploratory data analysis, feature engineering, model building, hyperparameter tuning, model evaluation, and complete project documentation as per industry standards.
Program Modules
W1: Week 1: Python for Data Science and Data Preprocessing
Introduction to AI and Machine Learning, AI vs ML vs DL, types of machine learning - supervised, unsupervised, reinforcement learning, applications of AI/ML, Python for data science, Python data types, control flow, functions, NumPy fundamentals, NumPy arrays, indexing, slicing, reshaping, broadcasting, mathematical operations, statistical operations, Pandas fundamentals, Series, DataFrame, data loading (CSV, Excel, JSON), data inspection, data selection, filtering, sorting, grouping, aggregation, merging, joining, data cleaning, handling missing values, outlier detection, feature scaling (normalization, standardization), encoding categorical variables (label encoding, one-hot encoding), Matplotlib fundamentals, line plots, bar plots, histograms, scatter plots, Seaborn, data visualization best practices, Jupyter Notebook, Google Colab.
W2: Week 2: Machine Learning Algorithms, Model Evaluation, and Live Mini Project
Supervised learning fundamentals, regression - linear regression, polynomial regression, ridge regression, lasso regression, logistic regression, classification - k-nearest neighbors (KNN), decision trees, random forests, support vector machines (SVM), naive Bayes, 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, hyperparameter tuning - grid search, random search, unsupervised learning - k-means clustering, hierarchical clustering, PCA, model saving and loading (pickle, joblib), introduction to model deployment - Flask API, Streamlit, live mini project - house price prediction, customer churn prediction, iris classification, complete documentation, viva-voce examination, certificate distribution.
Key Features
What You'll Learn
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 |
Internship Details
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 AI and 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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Internship Certificate
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Joining Letter
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Student ID Card
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Student Panel
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