What is a good ML project?

Posted on by Muna Meyer

What is a good ML project?

Sentiment Analysis using Machine Learning It is a great project to understand how to perform sentiment analysis and it is widely being used nowadays. This is one of the most popular machine learning projects.

What are some innovative machine learning project ideas?

Innovative Machine Learning Project Ideas

  • Activity recognition using Smartphone. The Economic Times.
  • Healthcare prediction solution.
  • Sentiment Analyzer for detecting depression.
  • Recommendation system.
  • Mood-based music or movie recommendation system.
  • Stock price prediction.
  • Fake news detection.
  • Iris flowers classification.

How do I start my own machine learning project?

My best advice for getting started in machine learning is broken down into a 5-step process:

  1. Step 1: Adjust Mindset. Believe you can practice and apply machine learning.
  2. Step 2: Pick a Process. Use a systemic process to work through problems.
  3. Step 3: Pick a Tool.
  4. Step 4: Practice on Datasets.
  5. Step 5: Build a Portfolio.

How do you make a simple machine learning model?

How to build a machine learning model in 7 steps

  1. 7 steps to building a machine learning model.
  2. Understand the business problem (and define success)
  3. Understand and identify data.
  4. Collect and prepare data.
  5. Determine the model’s features and train it.
  6. Evaluate the model’s performance and establish benchmarks.

What is CNN in machine learning?

A Convolutional Neural Network (ConvNet/CNN) is a Deep Learning algorithm which can take in an input image, assign importance (learnable weights and biases) to various aspects/objects in the image and be able to differentiate one from the other.

Why is ML interesting?

Machine learning is fascinating because programs learn from examples. From the data that you have collected, a machine learning method can automatically analyze and learn the structure already resident in that data in order to provide a solution to the problem you are trying to solve.

What can I do with ML?

Herein, we share few examples of machine learning that we use everyday and perhaps have no idea that they are driven by ML.

  • Virtual Personal Assistants.
  • Predictions while Commuting.
  • Videos Surveillance.
  • Social Media Services.
  • Online Customer Support.
  • Search Engine Result Refining.
  • Product Recommendations.

How can I learn AI and ML for free?

1. Machine Learning by Stanford University via Coursera

  1. Udacity Intro to Machine Learning on Udacity. Another great machine learning course on the internet you can study for free comes from Udacity.
  2. Learning from Data (Introductory Machine Learning) by EdX.

What is ML lifecycle?

What is the Machine Learning Life Cycle? The machine learning life cycle is the cyclical process that data science projects follow. It defines each step that an organization should follow to take advantage of machine learning and artificial intelligence (AI) to derive practical business value.

Is Python good for machine learning?

Python for machine learning is a great choice, as this language is very flexible: It offers an option to choose either to use OOPs or scripting. There’s also no need to recompile the source code, developers can implement any changes and quickly see the results.

Is CNN better than RNN?

CNN is considered to be more powerful than RNN. RNN includes less feature compatibility when compared to CNN. This network takes fixed size inputs and generates fixed size outputs. RNN can handle arbitrary input/output lengths.