Best machine learning training institute in noida
Machine Learning & M.L Importance
Machine learning is one of the quickest developing arms of the area of computerized reasoning. It has broad outcomes and in the following couple of years we will see each industry conveying the standards of man-made consciousness, machine learning and profound learning advancements at scale. Machine learning changes the manner in which we take a gander at a similar old issues in drastically unique ways. You will find out about the distinctive parts of machine learning nuts and bolts that are being sent in different industry types, the significance of machine learning, its subclasses and a great deal of other data identified with this area.With the enormous advances in PC speed, and improvements in the calculations used to program them, machine learning is becoming quickly.
Inovi Technologies is one of the best training institute in noida for Machine learning course in noida. Machine learning alludes to the PC is instructed to take care of complex issues without express program. An essential piece of information science and part with calculations at its center, a machine learning instructional class gives you a comprehensive comprehension of machine learning calculations to group informational indexes.The trainers originate from varying backgrounds and are energetic and propelled to impart their insight and experience to our understudies – think visionaries, industry specialists, officials, business people, and strategists. To get more info visit here : https://www.inovitechnologies.com/Corporate-Training/Best-Machine-learning-training-institute-in-noida/
Course Content
Module 01: Regression Techniques
1.Random Forest Regression
2. Simple Linear Regression
3. Multiple Linear Regression
4. Polynomial Linear Regression
5. Support Vector Regression
6. Decision Tree Regression
Module 2: Classification Techniques
1. K-Nearest Neighbors (KNN)
2. Support Vector Machine (SVM)
3. Kernel SVM
4. Naïve Bayes Classification
5. Decision Tree Classification
6. Random Forest Classification
7. Evaluating Classification Model Performance
Module 3:Natural Language Processing (NLP)
1. Basic of NLP
2. Language preprocessing Techniques
3. Auto summarizing the given text document
4. K-Means Clustering
5. K-mini Batch Clustering
6. Build Pipeline View Project
7. Hierarchical Clustering
8. Jenkins to run script remotely
9. Elbow Method
10.Curve Smoothing Techniques
Module 4:Dimension Reduction Techniques
1. Docker Principal Component Analysis (PCA)
2. Linear Discriminant Analysis (LDA)
3. Basics of Numpy and panda
4. Reinforcement Learning
5. Association Rule Learning
6. Curve Smoothing Techniques
Module 5: Statistics Basics
1. Standard Deviation
2. Variance
3. Co-Variance
4. T-distribution
5. Pearson Correlation Coefficient (PCC)/ Correlation Coefficient
Our more course are:
RPA(Robotic Process Automation)
Mobile. No:- 9354482334 ,8810643463
Address:- F7 Sector-3 Noida UP 201301 india
EMail- info@inovitechnologies.com