Data Science
Ready to embark on an exciting journey into the world of data? Our cutting-edge Data Scientist Course is designed to transform your curiosity into tangible skills and make you a master of data-driven decision-making!
- Gain specific skills with specialised courses
- We provide the guaranteed lowest price in the industry
- Go beyond stats with Python
- Learn how to generate valuable insights from data
- Delivered by world-class instructors in nationwide luxury venues
Machine Learning
- Walking with Python and R
- Understanding Python and R
- Machine Learning Techniques
- Types of Learning
- Supervised Learning
- Unsupervised Learning
- Advice for Applying Machine Learning
- Machine Learning System Design
- Regression
- Simple Linear Regression
- Multiple Linear Regression
- Logistic Regression
- Classification
- Decision Tree
- Naive Bayes
- KNN(K nearest Neighbor)
- Random Forest
- Naive Bayes
- Support Vector Machines (SVM)
- Gradient Boosting algorithms
- Predicting house prices: A case study in Regression
- Linear Regression & Logistic: A Model-Based Approach
- Regression fundamentals : Data and Models
- Feature selection in Model building
- Evaluating over fitting via training/test split
- Training/ Test curves
- Adding other features
- Regression ML block diagram
- Analyzing the sentiment of reviews: A case study in Classification
- Classification fundamentals: Data and Models
- Types of classifications
- Feature selection in Model building
- Linear classifiers
- Decision boundaries
- Training and evaluating a classifier
- False positives, false negatives, and confusion matrices
- Classification ML block diagram
- Unsupervised Learning
- Clustering
- Recommendation
- Deep Learning
- Unsupervised Learning – Clustering
- Clustering System Overview
- Clustering fundamentals: Data and Models
- Types of clustering
- K Means Clustering
- Hierarchical Clustering
- DB Scan Clustering
- Difference between K Means and Hierarchical clustering
- Feature selection in Model building
- Clustering and similarity ML block diagram
- Recommending Products
- Recommender systems overview
- Collaborative filtering
- Understanding Collaborative Filtering and Support Vector Machine
- Effect of popular items
- Normalizing co-occurrence matrices and leveraging purchase histories
- The matrix completion task
- Recommendations from known user/item features
- Recommender systems ML block diagram
Deep Learning and Artificial Intelligence
- Installation of Tensor flow
- Basics of Tensor flow with real-time project
- Image classification with Tensor flow real-time project
- Speech to Text with Tensor flow real-time project
- OCR with OpenCv with real-time project
- Object detection with Tensor flow real-time project
- Deep Learning Concepts like Neural Networks, AI
- image captioning with Tensor flow real-time project
- Deep Learning: Searching for Images
- Searching for images: A case study in deep learning
- Learning very non-linear features with neural networks
- Application of deep learning to computer vision
- Deep learning performance
- Demo of deep learning model on Image Net data
- Deep learning ML block diagram
- Deploying Tensorflow deep learning models in production.
- NLTK
- Topic Extraction.
- NLTK Tokenizes
- Word Stemming
- Named entity Reorganization
- POS Tagging
- Sentiment Analysis
- Google Cloud
- Microsoft Azure Cloud
- AI cloud
- Model Building and Deployment in Microsoft Azure Cloud
- Model Building and Deployment in H2O.AI Cloud
- Deep Learning Model Building and Deployment in Google Cloud
About Us
Welcome to Technoex, a trusted name in the world of education and professional development. We are committed to empowering individuals and organizations with the knowledge and skills they need to thrive in the ever-changing landscape of the digital age.
Courses
Data Scientist
Machine learning
Prompt Engineering
Digital Marketing
Quick Links
Blogs
News