Скачать или смотреть Data science projects--(PART 1)Breast Cancer Detection using SVM and KNN (Exploratory Data Analysis)

PART-1: In this project, we will be using the Breast Cancer Wisconsin (Diagnostic) Data Set from the UCI Repository.


We will be training a Support Vector Machine Machine (SVM) as well as K-Nearest Neighbor (KNN) to predicting whether a cell is Benign or Malignant

Watch PART-2 From the channel


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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