Vijay Gadhave
Data Science, Machine Learning and Artificial Intelligence are the most demanding skills in today’s world,
Almost every Multi–National company is working on these new technologies
With this Mega Course you will learn all the required tools for Data Science from the very beginning !
We will cover below topics,
1) Data Pre–Processing: Importing Libraries, Importing Dataset, Working with missing data, Encoding categorical data, Splitting dataset into train and test set, Feature scaling
2) Regression Analysis: Simple Linear Regression, Multiple Linear Regression, Polynomial Regression, Support Vector Machine, Decision Tree, Random Forest, Evaluating the Model Performance
3) Classification Techniques: Logistic Regression, KNN, SVM, Na ve Bayes, Decision Tree, Random Forest
4) Cluster Analysis: K means, Hierarchical
5) Natural Language Processing: NLTK, Tokenization, Stemming, Lemmatization, Stop Words, POS Tagging, Chunking, Named Entity Recognition, Text Classification
6) Dimensionality Reduction: Principal Component Analysis (PCA), Linear Discriminant Analysis (LDA)
7) Artificial Neural Networks (ANNs) with TensorFlow 2.0
8) Convolutional Neural Networks (CNNs) with TensorFlow 2.0
9) Data Analysis with Numpy: NumPy Arrays, Indexing and Selection, NumPy Operations
10) Data Analysis with Pandas: 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
Instructor Details
Courses : 5
Specification: Data Science for Beginners: Hands-On Data Science in Python
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11 reviews for Data Science for Beginners: Hands-On Data Science in Python
Add a review
| Price | $13.99 |
|---|---|
| Provider | |
| Duration | 12 hours |
| Year | 2020 |
| Level | All |
| Language | English |
| Certificate | Yes |
| Quizzes | No |
$13.99
shravan reddy –
He is teaching me how to drive a ship in ocean with heavy storm that, a cup of coffee cannot be spilled in those heavy tides. Wow, what a smooth driving. I also appreciate if he cover the course in an interview perspective too. After all, we need to crack an interview, which is pointless otherwise.
Neena Johnson –
trainer sounds monotonous . Tough the topic is interesting
Sachin Mohite –
This course provides a comprehensive overview of the emerging technologies Data Science, Machine Learning, Deep Learning, NLP and TensorFlow 2.0
Sachin Daspute –
I have just finished 50% and so far the course so good, very excited for upcoming tutorials.. thanks Vijay
Chung Peter Kim –
Very good information for beginners
Gyan Prakash Sahoo –
Yes, the course is quite a good match for me as of now.
Oluwagbemileke Afariogun –
It as helped to understand the python codes for data science methods useful for beginners. Since i am new to python code. I have found the course useful
Pallavi Sharma –
The magnitude analysis of coefficients in Model performance part is not clear
Ravi –
Yes
Sreenivas Prabhu –
Good
Stephen Otagbo –
I am a beginner!