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NLP Engineer Essentials

Dive into the fundamentals of Python, Machine Learning, Deep Learning, and Natural Language Processing (NLP) in this essential course for aspiring NLP Engineers. Build a strong foundation for your journey into the world of AI and language processing.

Requirements

Basic Statistics Knowledge is beneficial

Basic English

Desktop or Laptop with minimum 8GB RAM and i5 processor

Reliable Internet Connection

Consistent Learner

Enthusiasm towards programming

What you’ll learn

Python fundamentals like variables, loops, functions, and essential coding concepts.

Machine learning techniques which are classification, regression, model training, and natural language data analysis.

Deep learning concepts which are neural networks, architectures, recurrent, convolutional networks.

Natural Language Processing intricacies like preprocessing, tokenization, vectorization, and text analysis techniques.

Hands-on projects real-world simulations, personalized feedback, and interactive learning.

Computer Vision Engineer Essentials

Computer Vision Engineer Essentials teaches Python basics, machine learning, deep learning, and computer vision. Students learn to code in Python, understand machine learning concepts, delve into deep learning techniques, and apply them to solve problems in computer vision.

Requirements

Basic Statistics for Data Science course completion is mandatory

Basic English

Laptop or Desktop with 8GB RAM and i5 processor

Reliable Internet Connection

Consistancy Learning

Enthusiasm towards programming

What you’ll learn

Python basics: Variables, loops, conditionals, functions, object oriented programming, coding exercises.

Machine learning: Supervised, unsupervised learning; building real world models.

Deep learning: Neural networks, activation functions, optimization, TensorFlow, PyTorch, complex tasks.

Computer vision: Image interpretation, object detection, classification, facial recognition, segmentation.

Practical learning: Hands-on projects, guided assignments, real-world applications, personalized feedback.

Data Scientist Essentials

Data Scientist Essentials teaches Python basics, machine learning, and deep learning. Learn Python programming from scratch, delve into machine learning algorithms for predictive analytics, and explore deep learning techniques for advanced data analysis. Gain essential skills for a career in data science.

Requirements

Completion of Basic Statistics for Data Science

Basic English

Laptop or Desktop with i5 processor

Reliable Internet Connection

Consistancy in Learning

Enthusiasm towards programming

What you’ll learn

Gain a solid understanding of Python programming fundamentals, including variables, loops, functions, and data structures.

Explore a wide range of machine learning algorithms, from supervised to unsupervised learning.

Dive into the cutting-edge field of deep learning, learning about neural network architectures like feedforward, convolutional, and recurrent networks.

Work on hands-on projects and real-world datasets across various domains, including finance, healthcare, e-commerce, and social media.

Develop practical skills in data manipulation, analysis, and visualization using libraries like NumPy, Pandas, and Scikit-learn.

Computer Vision Essentials

Master the fundamentals of Computer Vision with our course covering OpenCV and YOLO. Learn image processing, object detection, and facial recognition techniques. Gain practical skills to create real-world applications in autonomous vehicles and facial recognition systems.

Requirements

Python Boot Camp for Data Science course completion is very mandatory

Deep Learning Essentials course completion is very mandatory

Basic English

Laptop with i5 processor

Consistency in Learning

Reliable Internet Connection

What you’ll learn

Master the foundational principles of Computer Vision and its real-world applications.

Develop hands-on expertise in image processing using Python and the OpenCV library.

Gain a deep understanding of Object Detection techniques

Learn the art of Facial Recognition, from face detection using YOLO

Apply image enhancement, restoration, and segmentation methods to solve practical challenges.

Basic statistics in Data Science enables insightful data exploration, pattern recognition, and informed decision-making, laying a foundation for robust and accurate predictive modeling and analysis.

Requirements

Basic English

Secondary School Mathematics

Laptop with atleast 8GB RAM, i5 Processor

Consistency in Learning Modules

Solving Exercises

Reliable Internet Connection

What you’ll learn

Basic Understanding of Data

Importance of Data in Statistics

Inferential Statistics

Descriptive Statistics

Data Analysis Methodologies

Unlock data science and machine learning mastery with our "Machine Learning & Data Science with Python" course. From fundamentals to advanced practices, gain hands-on experience using Python's libraries. Whether starting or enhancing, excel in this dynamic field.

Requirements

Python Boot Camp for Data Science course completion is very mandatory

Basic English

Laptop or Desktop with minimum 8GB wiith i5 processor

Reliable Internet Connection

Consistency in Learning

Basic analytical approches

What you’ll learn

Understand the fundamental principles of data science and machine learning.

Master Python programming for data analysis and machine learning tasks.

Create predictive models for regression and classification problems.

Evaluate and fine-tune machine learning models using performance metrics.

Gain hands-on experience with industry-standard libraries like sci-kit-learn.

https://www.brainybits.in/self-learning