Data Science 2022: Data Science & Machine Learning in Python

Data Science, Machine Learning Python, Deep Learning, TensorFlow 2.0, NLP, Statistics for Data Science, Data Analysis !

Data Science, Machine Learning and Artificial Intelligence are hottest and trending technologies across the globe, almost every multinational organization is working on it and they need a huge number people who can work on these technologies. By keeping all the industry requirements in mind we have designed this course, with this single course you can start your journey in the field of Data Science. In this course we tried to cover almost everything that is comes under the umbrella of Data Science

Best Seller Course: COVID-19 Data Science Urban Epidemic Modelling in Python

What you’ll learn

• Go from total beginners to confident machine learning engineer
• Apply Machine Learning algorithm on 10+ dataset
• Get complete Environment ready with Google Colab Notebook
• Machine Learning Overview, Types of Machine Learning System
• Compare Machine Learning with Traditional system of Computing
• Different Machine Learning Algorithm, Machine Learning Workflow
• Transform your data with One Hot Encoding & Feature scaling
• Apply Natural Language Processing Technique like Tokenization, Stemming, Stop Words, Named Entity Recognition, Sentence Segmentation
• Classify Fashion clothes image with Artificial Neural Network + Keras
• Importing Libraries, Importing Dataset, Working with missing data
• Build Credit Card Fraud Detection with Convolution Neural Network
• Theory behind Convolutional Neural Networks, Different layers in Convolutional Neural Networks
• The Neuron, Activation Function, Cost Function, Gradient Descen
• Theory behind Recurrent Neural Networks, Vanishing Gradient Problem
• Classify IMDB Review using Recurrent Neural Network – LSTM
• Pandas Series, DataFrames, Multi-index and index hierarchy
• Working with Missing Data, Groupby Function, Merging Joining and Concatenating DataFrames
• Pandas Operations, Reading and Writing Files
• Predict Restaurant Profit with Multiple Linear Regression
• Calculate Grades using Simple Linear Regression
• Apply SVR, SVM, Decision tree and Random Forest on Real Dataset
• Get Hands-on with Python Crash Course
• Refresh concept of Data analysis and Visualization with NumPy, Pandas & Matplotlib
• Plots different types of Chart like Scatter Plot, Bar plot, Histogram, Pie Chart

You May Also Need This Course: Complete Machine Learning and Data Science: Zero to Mastery

Redeem Offer

Click to open site

Data Science

success 50%