5 Attractive Machine Learning Projects for Resume (2022)

The AI and machine learning industries are booming like never before. Machine learning projects for a resume that you can use to demonstrate how your machine learning talents and experiences relate to the machine learning job role you're applying for.

"Machine learning is something every developer at every company needs to know about, right now" Kevin Scott, CTO, Microsoft.

In the industry, time-series forecasting is a common machine learning technique. There are numerous business applications for using historical data to forecast future sales. Five top basic machine learning projects are:
i. visualizing and forecasting stocks using a dash,
ii. Machine learning pre-processing CLI
iii. Exploratory analysis for Geolocational Data
iv. Chatbot song recommender system
v.Companion app: A mental health tracker built using flutter and firebase
OrangeTree Global is one of the companies which is working with data and making the scope industry-wide and it will help in various directions of today's world. Data visualization jobs come with high salaries so people are showing their interest in this.

In the industry, time-series forecasting is a common machine learning technique. There are numerous business applications for using historical data to forecast future sales. Image/Video Processing, Computer Vision, and Machine Learning are the three core topics of research in the Computational Imaging Lab (CIL). K means clustering is the most important in geolocational data analysis. Spotify's music recommendations are based on artificial intelligence (AI). You can try developing a recommender system using Spotify data that is publically available. Mental health is an important issue today so the mental health tracker-related machine learning program is important.

Machine learning projects should be brief and to the point and it is for job purposes and will reflect on a resume. One can briefly discuss the dataset, model training, etc.

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Its been a lot easier to write this segment of the website after 13 years. We've had another so easy but eventful journey so far. The critical challenge for firms in this field is the constant need to reinvent themselves and operate in a lean and agile manner. There simply has been no room for complacency. We've seen many firms come and go this last decade but resilience and commitment pay off. We started at a time when 'Analytics' was a domain and subject no one had heard of. Today it is a different ball game altogether and consequently, we focus on more niche areas of consulting and analytics.

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