I will deliver machine learning and data science solutions for assignments and projects
I will deliver machine learning and data science solutions for assignments and projects
There are many resources available online that can help you deliver machine learning and data science solutions for assignments and projects. One such resource is Kaggle1.
Get deliver machine learning and data science solutions for assignments and projects
Kaggle is the world’s largest data science community with powerful tools and resources to help you achieve your data science goals. They offer a wide range of courses and tutorials on machine learning and data science that can help you get started quickly.
Another resource is Springboard2. They have a beginner to advanced guide on 21 machine learning projects that can help you learn machine learning concepts and techniques.
You can also check out GitHub3 for data science assignments and projects that other users have shared.
Python is widely used in data science for tasks such as data cleaning, manipulation, and analysis4. Popular libraries such as NumPy, Pandas, and Matplotlib provide powerful tools for working with data, while Scikit-learn and TensorFlow offer machine-learning capabilities.
There are many resources available online that can help you learn machine learning concepts and techniques. Here are some of them:
- Springboard1: They offer a list of 40 free resources to help you learn machine learning on your own.
- Kaggle2: They have a list of top 16 best resources online to learn machine learning in 2021.
- FreeCodeCamp3: They have a list of resources that can help you teach yourself machine learning.
- Career Karma4: They have a list of courses, training, and other resources for machine learning.
- Zillow Home Value Prediction ML Project1: This project involves predicting the value of a house based on various features.
- BigMart Sales Prediction ML Project1: This project involves predicting sales of a store based on various features.
- Music Recommendation System ML Project1: This project involves building a music recommendation system based on user preferences.
- Machine Learning Gladiator2: This project involves building a machine learning model that can predict whether a person will survive or not in the Titanic disaster.
- Play Money Ball2: This project involves building a machine learning model that can predict whether a baseball player will be successful or not.
- Supervised Learning
- Unsupervised Learning
- Reinforcement Learning
- TensorFlow
- Keras
- PyTorch
- Scikit-Learn
- Pandas
- Numpy
- Matplotlib
