Project 1 - M2M WIL - Data Analytics #17

M2M Tech

https://m2mtechconnect.com/

Description

he goal of this project is to explore a few datasets from various domains including Mobility sector, Advanced Manufacturing (Predictive Maintenance), Clean Tech and leverage the latest technology to apply the latest Data Science techniques to the dataset to gather new insights. This will involve several steps including but not limited to: Conduct background research on existing products, services, domains & dataset. Conduct research into the latest Data Analytics techniques and how they could be applied to our data. Optimizing the system for runtime performance and assessing areas for improvement. Researching other variables that can improve the efficiency of the system. Accounting for additional variables in the data analysis system. Testing the developed system and making improvements based on additional data.

Compétences requises

ata analysis and optimization. Python libraries such as NumPy and Pandas. Arrays, numerical operations and data manipulation DataFrames, data cleaning, filtering, grouping and merging. Techniques for Data preprocessing and Feature engineering

Avantages

Le mini-stage sera rémunéré de 1500$ pour une durée de 80h.

 

Objectifs

Understanding of the available dataset The problem being solved Methodologies and approaches Research current industry standard approaches to ML and AI. Outcomes and results

Conditions d'accès

Être un étudiant actif : ce mini-stage ne peut-être un stage de fin d'étude, tu dois confirmer ton inscription à la session en cours et à la session suivante dans un établissement postsecondaire au Canada.

Programmes d'études

Génie logiciel

Niveaux d'études

Bac 3eme année

Adresse

10090 152 St Suite # 435, 151, Surrey, BC V3R 8X8

Ville

Surrey

Durée

80 h

Format

Candidat unique

Date de début

2023-09-11

Date de fin

2023-10-20

Disponibilité

Temps plein/partiel

Ce mini-stage s'effectuera

En ligne

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