Are you looking to get into Machine Learning but don't know how? Look no more, as NEXT IN Soft has come with its Machine Learning Training in Nashik, where you get top-of-the-line learning from the industrial experts.
Comprehensive training program designed to make you industry-ready
Get industry-recognized certification upon completion
Training by industry experts with 10+ years experience
Work on real-world projects during the training
Personalized guidance and doubt resolution sessions
Weekend & weekday batches available to fit your routine
Hands-on practice with real-world coding exercises and projects
Globally recognized certification accepted by top companies worldwide
Guidance from industry experts with real-world experience
Completion Rate
Students Trained
Companies Hire Our Students
Comprehensive curriculum covering all aspects of Machine Learning
| Sr No. | Module Name | Module Topics |
|---|---|---|
| 1 |
Introduction to Machine Learning
|
Origin of ML, History, Features, Career Prospects, Salary Ranges, Types of Machine Learning (supervised, unsupervised, semi-supervised, reinforcement learning) |
| 2 |
Introduction to Data Science and Data Processing
|
Learn about Data Science Process, Data cleaning, Feature scaling, Feature engineering and selection, Dimensionality reduction techniques (PCA, LDA) |
| 3 |
Supervised Learning
|
Linear regression, Classification algorithms (Logistic regression, k-Nearest Neighbors (k-NN), Support Vector Machines (SVM), Decision Trees, Random Forests, Naive Bayes), Evaluation metrics for regression and classification |
| 4 |
Unsupervised Learning
|
Clustering algorithms (k-Means clustering, Hierarchical clustering, DBSCAN), Dimensionality Reduction |
| 5 |
Advanced Supervised Learning Techniques
|
Ensemble learning, Neural Networks and Deep Learning |
| 6 |
Model Evaluation and Optimization
|
Cross-validation, Hyperparameter tuning, Regularization techniques |
| 7 |
Reinforcement Learning
|
Introduction to reinforcement learning, Key concepts, Types of reinforcement learning, Policy gradient methods |
| 8 |
Natural Language Processing (NLP)
|
Text preprocessing, Text representation, Sentiment analysis, Named entity recognition, Sequence-to-sequence models and transformers (BERT, GPT) |
| 9 |
Project
|
Recommendation Systems |
Focus on hands-on ML projects
Fill out the form below and our team will contact you with course details, fees, and batch schedules.
F-8, DJ House Complex, Above Krishna Hotel,
College Road, Nashik-422005
Maharashtra, India
For quick assistance, call or email us directly.