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Jash Data Sciences
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I applied via LinkedIn and was interviewed in Jan 2024. There were 2 interview rounds.
Python coding test with pure python logic
Machine learning is a subset of artificial intelligence that focuses on building predictive models from data.
Machine learning algorithms can be categorized as supervised, unsupervised, or reinforcement learning.
Statistics is the study of the collection, analysis, interpretation, presentation, and organization of data.
Common machine learning algorithms include linear regression, decision trees, support vector machines,
I applied via Recruitment Consulltant and was interviewed in Aug 2023. There were 2 interview rounds.
Simple addition/subtraction question in python
SQL Questions on RANK
RNN is a type of neural network that can process sequential data by using feedback connections.
RNN stands for Recurrent Neural Network.
It is designed to handle sequential data such as time series or natural language.
RNN has feedback connections that allow information to persist and be passed from one step to the next.
Each step of an RNN takes an input and produces an output, which becomes the input for the next step.
RN...
GIT projects are repositories that track changes to code, allowing collaboration and version control.
GIT is a distributed version control system used for tracking changes to code.
Projects in GIT are stored in repositories, which can be local or remote.
GIT allows multiple developers to work on the same project simultaneously.
It provides features like branching, merging, and conflict resolution.
GIT projects enable collab
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posted on 30 Jan 2024
posted on 27 Jun 2023
Supervised learning uses labeled data to train a model, while unsupervised learning uses unlabeled data. K-means clustering is a type of unsupervised learning algorithm. KNN is a supervised learning algorithm. SQL joins are used to combine data from multiple tables.
Supervised learning uses labeled data to train a model, while unsupervised learning uses unlabeled data
K-means clustering is a type of unsupervised learning...
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