NumPy For Data Science

Numpy is the core library for scientific computing in Python. It provides a high-performance multidimensional array object and tools for working with these arrays.

FOR MORE PROJECTS AND TUTORIALS:

Join The Data Science Projects Training

INTRODUCTION:

LIVE ONLINE TRAINING

Set Up Your Personal Blog/Website
Set Up Your Linkedin Page Professionally
Git and Github
Professional Resume Sample
Interview Preparations
One-on-One Career Coaching
Model Deployment
Frequent Course Update
Study Group
Extra Resources
Lifetime Access

PROJECTS:

Credit Card Fraud Detection
DNA Classification-Bioinformatics
Heart Disease Prediction
Image Classifier for Plant Species Identification
Interest level Prediction of Rental Listings on RentHop
Kaggle-Music Recommendation System Project using Python
Predicting Loan Default
Predict The Onset Of Parkinson’s Disease
Kaggle-Predicting Survival on the Titanic
Kaggle-Instacart Market Basket Analysis
Kaggle-Bosch Production Line Performance
Bank Note Analysis
BigMart Sales Prediction
Board Game Review Prediction
Image Classification
Predicting Loan Default
A Campaign To Sell Personal Loans
Breast Cancer Detection using SVM and KNN
Customer-based predictive analytics to find the next best offer
Handwritten digit recognition
Interest level Prediction of Rental Listings on RentHop
Stock Market Clustering-KMeans Algorithm
Extra Projects to be added

COURSES:

Python For Data Science:

Google Colab/Jupyter notebook: Installation & function
Python Basics
Python functions & packages
Data structures
Arrays
Vectors
Data frames
Pandas
NumPy
Data Visualisation
Matplotlib
Seaborn

STATISTICS FOR DATA SCIENCE:
Descriptive Statistics
Probability & Conditional Probability
Hypothesis Testing
Inferential Statistics
Probability Distributions

MACHINE LEARNING:

Linear regression
Logistic regression
Naive Bayes classifiers
Multiple regression
K-NN classification
K-means clustering
Support vector machines
High-dimensional clustering
Hierarchical clustering
Dimension Reduction (Principal Component Analysis-PCA)
Decision Tree-CART
Random Forest
Bagging
Boosting
Stacking
CatBoost
XGBoost
LightGbm

SQL:
Why SQL?
Introduction to Databases
Installing MySQL
Creating Databases
Creating Tables
Performing queries
SELECT
INSERT
CONSTRAINTS
UPDATE
VIEWS
Joins
Aggregate Functions

TABLEAU:

Install Tableau Desktop 10
Connect Tableau to various Datasets: Excel and CSV files
Create Bar charts and Area Charts
Create Pie charts
Create Scatter plots
Create Maps and Treemaps
Storylines
Data Blending
JOINS
Interactive Dashboards
Calculated Fields
6+ advanced topics

Excel:
Excel Tips and Tricks
Formulas and Absolute References
Pivot Tables & Pivot Charts
Dashboards
Conditional Formatting
Excel Formulas
If Function Vlookup
SumIF
CountIF
Index and Match
VBA and Macros
Power BI

Frequent Update of Course
One time payment
Lifetime Access

Live Online Training