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POC, Project Parameters, Algorithm, AI-ML, brain, Road map, Fake News,…
POC
Sentimental Analysis
Stop words
POS tag
Feature Exraction
Dataset(CSV)
Flie IO(Read/Write, Permisson)
Pandas
Rows(1000)
Fake News Detection
TF(Term Frequency)
IDF(Inverse Document Frequency)
PAC(Passive Aggressive Classifier)
tweepy
Repository:K,
Parkinson Disease
XGBOOST(Extreme Gradient Boosting based on Decision Tree)
sklearn library
XGB Classifier
Gender and Age Detection
Face Detection
capture real time data
data set
Classify into male female
Classify into age ranges
Leaf Disease Detection
Color
Intensity
Features
Speech Emotion Recoginition
Sampling
Variance
Detection
Project Parameters
Input
Data Set
Output
Expected
Performance Parameters
Accuracy Sensitivity
Algorithm
Pre Processing
Classification
Algorithm
Data Acquistion/Data Read
PP
FE
Analysis/Conclusion
AI-ML
Career Prospects
opportunities
Road Map
brain
Fetch
Decoding
Execution
Road map
Algorithm Based
C/oops
Fake News
Data Set(Excel)
Offline/Real Time
Website/Repo/SM
Packages
Pandas
Tweepy/FaceBook SDK
SentiMental Analysis
Data Set (excel)
Offline/Real Time
Market Place/Reviews
Packages
Pandas/Scipy
NLTK-NLP
StandFord Library
Gender Age/Face Detection
Data Set
Offline/Real Time
Data Acq/Image
Packages
Open CV
Computer Vision Libraries/Filters.Image Enhancement
Leaf Disease Detection
Data Set
Offline
Pre Process
Image Enhancement
Packages
Open CV
Image Library: Pixel/Hamming distance
Speech Emotion Recog
Data Set
offline/Real Time
Sample/Fiters/Covar/matching
Packages
Record/Save
Process
Signal Analysis in Python
Classification
Parkinson
Data Set
Medical dataset
Voice Samples Analysis
Read/Filter/Signal Processing
Analysis
Packages
SCIKIT
ML CLASSIFIERS