Machine Learning & Deep Learning in Python & R Free Download. Covers Regression, Decision Trees, SVM, Neural Networks, CNN, Time Series Forecasting and more using both Python & R
If you’re aspiring to embark on a successful career in Data Science, Machine Learning, or Deep Learning, this comprehensive course is your gateway to acquiring the skills needed to excel in these fields. Designed for beginners and intermediate learners, this course covers a spectrum of topics, from Python and R basics to advanced Machine Learning and Deep Learning models.
Course Highlights:
- Installation Guide: Students will be guided through the installation of Anaconda software, a foundational step for the course.
- Predictive Modeling Mastery: Gain confidence in building predictive Machine Learning and Deep Learning models using Python and R, allowing you to solve real-world business problems and devise effective business strategies.
- Interview Preparation: Prepare for interviews with a solid understanding of Machine Learning, Deep Learning, R, and Python, equipping you to answer related questions.
- Kaggle Competitions: Acquire the skills to participate and perform well in online Data Analytics and Data Science competitions, such as those hosted on Kaggle.
- Certificate of Completion: Receive a verifiable Certificate of Completion upon finishing the course, adding credibility to your skills.
Machine Learning & Deep Learning in Python & R Free Download
Why Choose This Course?
- Holistic Approach: Unlike many courses that focus solely on running data analysis, this course emphasizes the crucial steps before and after the analysis. This includes ensuring the right data, performing data exploration, and understanding how to judge the model’s quality.
- Business-Centric Learning: Recognizing the importance of business knowledge, the course covers essential aspects of data analysis, machine learning, and deep learning to help students contribute meaningfully to business problem-solving.
- Experienced Instructors: Taught by Abhishek and Pukhraj, managers in a Global Analytics Consulting firm, the course integrates practical aspects of data analysis drawn from their extensive experience in helping businesses solve problems using machine learning techniques.
- Comprehensive Curriculum: The course spans various sections, covering Python and R basics, statistics, machine learning models (regression, classification, decision trees, ensemble techniques, support vector machines), and deep learning concepts (ANN, CNN). It also delves into time series data and forecasting.
Course Sections:
- Python Basics
- R Basics
- Basics of Statistics
- Introduction to Machine Learning
- Data Preprocessing
- Regression Model
- Classification Models
- Decision Trees
- Ensemble Techniques
- Support Vector Machines
- ANN Theoretical Concepts
- Creating ANN Model in Python and R
- CNN Theoretical Concepts
- Creating CNN Model in Python and R
- End-to-End Image Recognition Project in Python and R
- Pre-processing Time Series Data
- Time Series Forecasting
Who Should Take This Course?
This course caters to:
- Individuals pursuing a career in data science
- Working professionals venturing into the field of data science
- Statisticians looking to gain practical experience
By the end of this course, you will have the confidence to create models in both Python and R, making you adept at solving real-world business challenges. Join this course and unlock the potential of a rewarding journey in the realm of data science.
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Machine Learning & Deep Learning in Python & R Download
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