I will machine learning data science python
I will machine learning data science python
Web1. Supervised Learning with scikit-learn. Grow your machine learning skills with scikit-learn in Python. Use real-world datasets in this interactive course and learn how to make powerful predictions! 4 hours.
Get I will machine learning data science python
Looking for a machine learning and data science expert to help you extract insights from your data using Python? Look no further! I offer a wide range of services, including:
- Data cleaning
- Exploratory data analysis
- Machine learning modeling
- Model evaluation and optimization
- Data visualization and reporting
With years of experience in the field, I have worked on various projects such as:
- Customer churn prediction
- Sentiment analysis of social media data
- Image recognition for medical diagnosis
I'm well-versed in tools and libraries such as:
- Pandas
- Numpy
- Scikit-learn
- Tensorflow
- Keras
- PyTorch
I can work with various data formats such as:
- CSV
- Excel
- JSON
- SQL databases
I'm dedicated to delivering high-quality work that meets your needs and exceeds your expectations. Contact me today to discuss your project and let's turn your data into valuable insights!
Python has become an indispensable tool in machine learning and data analytics thanks to its simplicity, versatility, and vast ecosystem of libraries and frameworks1.
It has made it easier for data scientists and machine learning engineers to prototype, experiment, and deploy machine learning models and data analysis workflows1.
There are many resources available online to learn Python for data science and machine learning such as Fiverr Python for Data Science and Machine Learning Bootcamp2
or Harvard University’s Introduction to Data Science with Python3.
Kaggle is also a great resource for data scientists and machine learning engineers as it provides access to over 50,000 public datasets and 400,000 public notebooks4.
Some of the most popular Python libraries used in data science include Pandas, which is a powerful data manipulation library that provides data structures and functions for efficient data analysis12,
Scrapy which helps to build crawling programs (spider bots) that can retrieve structured data from the web2,
NumPy which is a library for the Python programming language, adding support for large, multi-dimensional arrays and matrices3,
Matplotlib which is a plotting library for the Python programming language and its numerical mathematics extension NumPy4, and Seaborn which is a Python data visualization library based on Matplotlib4.
Hello and welcome to my profile! My name is Ahsan, and I am a Machine Learning Team Lead with more than three years of experience in the field.
I specialize in creating end-to-end industrial projects using a variety of technologies, including Linux CLI, Docker, AWS, Nvidia DeepStream, MySQL, and NoSQL.
I have a passion for programming and have gained extensive experience in various domains of ML, including Data Science, Natural Language Processing, and Computer Vision.
Computer Vision is my favorite domain, and I have done extensive work on facial recognition.
Basic : $50
bug fixing, data loading, basic ml programs, visualization
