DATA SCIENCE & ML USING PYTHON
What is Data Science & Ml Using Python course
Have you ever wondered how companies predict what you might buy online, or how weather apps forecast with surprising accuracy? The answer lies in the exciting world of Data Science and Machine Learning (ML)! This training course equips you with the skills to make sense of massive amounts of data, uncover hidden patterns, and even build intelligent systems.
Why Python?
Python is your key to unlocking this potential. It's a beginner-friendly programming language known for its clear syntax and vast libraries specifically designed for data analysis. This course will guide you through these powerful tools like NumPy for numerical computing and Pandas for data manipulation.
What will you learn?
- Data Wrangling: Master the art of cleaning and organizing messy data, making it ready for analysis.
- Data Visualization: Transform complex data into clear and impactful charts and graphs, allowing you to see trends and patterns come to life.
- Statistical Analysis: Learn powerful techniques to uncover hidden insights and make data-driven decisions.
- Machine Learning Fundamentals: Explore how to build algorithms that can learn from data and make predictions, like spam filters or movie recommendations.
No prior coding experience? No worries!
This course is designed for students of all backgrounds. Whether you're a complete beginner or have some programming knowledge, the instructors will guide you step-by-step through the exciting world of data science with Python.
Get ready to:
- Gain in-demand skills that are valuable across industries.
- Approach problems from a data-driven perspective.
- Make informed decisions based on real-world insights.
- Launch a rewarding career in the ever-growing field of data science.
This Data Science & Machine Learning with Python training course is your gateway to a world of possibilities. Enroll today and start your journey to becoming a data rockstar!
Course Curriculum
Join Best institute for Data Science ML using Python Training, Remote Learnings offers the Best Data Science ML using Python Training classes with live project by expert trainer.
Overview of Data Science and its Applications Setting up Python Environment for Data Analysis
Working with DataFrames (e.g., Pandas library) Data Cleaning, Imputation, and Transformation
Plotting and Visualizing Data (e.g., Matplotlib, Seaborn) Creating Informative Visualizations for Insights
Statistical Analysis and Descriptive Statistics Identifying Patterns and Trends in Data
Introduction to Machine Learning Concepts and Algorithms Supervised vs. Unsupervised Learning
Linear and Logistic Regression Predictive Modeling and Classification Techniques
Assessing Model Performance (e.g., Cross-Validation) Tuning Hyperparameters for Improved Model Performance
Mark Jukarberg
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