Data Science with Python: Conquer Python Basics (Part 9) #datascience #python #AI #ML #DL #nlp

Data Science Artificial Intelligence & Machine Learning, Deep Learning, Natural Language Processing with Python

This course provides a comprehensive journey through the realms of data science, artificial intelligence (AI), machine learning (ML), deep learning (DL), natural language processing (NLP), and Python programming from basic to advanced levels. Here's what each component encompasses:

Course Name: Data Science, Artificial Intelligence & Machine Learning, Deep Learning, Natural Language Processing with Python
Duration: 70 hours

Modules:
1. Python Programming (Basic to Advanced): The course starts by covering the fundamentals of Python programming language, catering to beginners with basic syntax, data types, control structures, and functions. As the course progresses, it delves into more advanced Python concepts such as object-oriented programming (OOP), file handling, decorators, generators, and comprehensions.

2. Data Science: Introduction to data science principles, including data preprocessing, visualization, and analysis techniques using Python's libraries such as NumPy, pandas, and Matplotlib. Students learn how to manipulate, clean, and explore datasets to extract meaningful insights.

3. Artificial Intelligence (AI): Overview of AI fundamentals, including problem-solving paradigms, search algorithms, knowledge representation, and reasoning. Students gain an understanding of how AI systems work and learn to implement basic AI algorithms using Python.

4. Machine Learning (ML): Exploration of ML algorithms and techniques for supervised, unsupervised, and reinforcement learning tasks. From basic algorithms like linear regression and k-nearest neighbors to advanced techniques like support vector machines and ensemble methods, students learn to implement ML models using Python libraries such as scikit-learn.

5. Deep Learning (DL): In-depth study of neural networks, deep learning architectures, and advanced DL techniques using libraries like TensorFlow and PyTorch. From building simple feedforward neural networks to complex convolutional and recurrent neural networks, students delve into the world of DL for tasks like image recognition, natural language understanding, and sequence prediction.

6. Natural Language Processing (NLP): Examination of NLP concepts and methodologies for processing and understanding human language data using Python's NLP libraries such as NLTK and spaCy. Students learn to perform tasks such as text preprocessing, sentiment analysis, named entity recognition, and language generation.6. Project

Additional Components:
Extra exams
Quizzes
Meetings
Certificate: Provided upon completion

Upon successfully completing the course, participants will receive a certificate of completion. This certificate serves as official recognition of their achievement and can be added to their resume or LinkedIn profile to showcase their proficiency in data science, artificial intelligence, machine learning, deep learning, and natural language processing with Python.
Upwork: Profile Building and Work

In addition to technical skills, it's essential for professionals in the field to effectively market themselves on freelancing platforms like Upwork. Participants will learn how to create a compelling Upwork profile that highlights their expertise, experience, and past projects. They'll also gain insights into how to effectively bid on projects, communicate with clients, and deliver high-quality work that meets client expectations.
Fiverr: Profile Building and Work

Similar to Upwork, Fiverr is another popular platform for freelancers to offer their services. Participants will learn how to create an attractive Fiverr profile that showcases their skills and offerings. They'll also learn strategies for pricing their services competitively, creating gig descriptions that attract clients, and delivering exceptional service to build a positive reputation and secure repeat business.
Real-Time Project Work (4 to 5 projects)

Features:
Online live classes
Contact email: naimulhasanshadesh@gmail.com
Contact number: +8801874743293