Internship Trainee
CurrentBy the end of this internship I will have the following skills and expect to get my first contract according to MCIT :Python• Anaconda• Virtual Environment • Data Types• User Inputs• Important Modules: Datetime, json, math, random, NumPy • Operators: Arithmetic and Logical• Data Structure • Loops• FunctionsData Science• Linear Algebra• Vector's and Matrix Operations• Eigen Value and Vectors• Probability, Statistics and Calculus• Sampling and Population• Mean, Median and Mode• Standard Deviation and Variance • Correlation and Covariance• NumPy and Pandas• Data Preprocessing Machine Learning• Linear Regression as a Regression Model• Tree Based Algorithms: Decision Trees and Random Forests • Association Rule Learning• Naive Bayes• Unsupervised Learning: K-Means, PCA, Hierarchical Clustering, DB Scan• Model Selection and Evaluation Deep Learning• Neural network layer types.• Activation functions.• Loss functions and their optimizers. • Autoencoder architecture.Computer Vision• Image Processing• Transfer Learning • Object DetectionNLP• RNN and LSTM• Encoder-Attention-Decoder ArchitectureMLOps Sessions2 SessionsProjects1 ProjectProjects• E-commerce Sales Data Cleanup and Insights.• Market Basket Analysis.• COVID-19 - Analysis, Visualization & Comparisons.• Predictive Analysis of Housing Prices• Credit Risk Prediction for Loan Approvals