ShivnarenSrinivasan

import asyncio
import base64

import dotenv
import pymupdf
from langchain_core.messages import HumanMessage, SystemMessage
from langchain_core.messages.base import BaseMessage
from langchain_google_vertexai import ChatVertexAI

dotenv.load_dotenv(override=True)

ShivnarenSrinivasan

ShivnarenSrinivasan

>>> y_true = [1, 1, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 0]
>>> y_pred = [0, 1, 1, 1, 0, 0, 0, 0, 1, 0, 1, 1, 1]
>>> from sklearn import metrics
>>> metrics.precision_score(y_true, y_pred)
0.5714285714285714
>>> metrics.recall_score(y_true, y_pred)
0.5714285714285714
>>> metrics.f1_score(y_true, y_pred)
0.5714285714285714

ShivnarenSrinivasan

import pandas as pd
import matplotlib.pyplot as plt
from matplotlib.axes import Axes
import seaborn as sns
from sklearn.impute import (
    _base,
)


# Oil

ShivnarenSrinivasan

Category,Resume
Data Science,"Skills * Programming Languages: Python (pandas, numpy, scipy, scikit-learn, matplotlib), Sql, Java, JavaScript/JQuery. * Machine learning: Regression, SVM, Naïve Bayes, KNN, Random Forest, Decision Trees, Boosting techniques, Cluster Analysis, Word Embedding, Sentiment Analysis, Natural Language processing, Dimensionality reduction, Topic Modelling (LDA, NMF), PCA & Neural Nets. * Database Visualizations: Mysql, SqlServer, Cassandra, Hbase, ElasticSearch D3.js, DC.js, Plotly, kibana, matplotlib, ggplot, Tableau. * Others: Regular Expression, HTML, CSS, Angular 6, Logstash, Kafka, Python Flask, Git, Docker, computer vision - Open CV and understanding of Deep learning.Education Details 

Data Science Assurance Associate 

Data Science Assurance Associate - Ernst & Young LLP
Skill Details 
JAVASCRIPT- Exprience - 24 months
jQuery- Exprience - 24 months
Python- Exprience - 24 monthsCompany Details 

ShivnarenSrinivasan

import string
import re

from typing import (
    Tuple,
    Collection,
)

import numpy as np
import pandas as pd

ShivnarenSrinivasan

from __future__ import annotations
import string

from typing import (
    Callable,
    Collection,
)

import numpy as np
import pandas as pd

ShivnarenSrinivasan

Age,Attrition,BusinessTravel,DailyRate,Department,DistanceFromHome,Education,EducationField,EmployeeCount,EmployeeNumber,EnvironmentSatisfaction,Gender,HourlyRate,JobInvolvement,JobLevel,JobRole,JobSatisfaction,MaritalStatus,MonthlyIncome,MonthlyRate,NumCompaniesWorked,Over18,OverTime,PercentSalaryHike,PerformanceRating,RelationshipSatisfaction,StandardHours,StockOptionLevel,TotalWorkingYears,TrainingTimesLastYear,WorkLifeBalance,YearsAtCompany,YearsInCurrentRole,YearsSinceLastPromotion,YearsWithCurrManager
41,Yes,Travel_Rarely,1102,Sales,1,2,Life Sciences,1,1,2,Female,94,3,2,Sales Executive,4,Single,5993,19479,8,Y,Yes,11,3,1,80,0,8,0,1,6,4,0,5
49,No,Travel_Frequently,279,Research & Development,8,1,Life Sciences,1,2,3,Male,61,2,2,Research Scientist,2,Married,5130,24907,1,Y,No,23,4,4,80,1,10,3,3,10,7,1,7
37,Yes,Travel_Rarely,1373,Research & Development,2,2,Other,1,4,4,Male,92,2,1,Laboratory Technician,3,Single,2090,2396,6,Y,Yes,15,3,2,80,0,7,3,3,0,0,0,0
33,No,Travel_Frequently,1392,Research & Development,3,4,L

ShivnarenSrinivasan

from collections.abc import (
    Collection,
)
from typing import (
    Final,
)

import numpy as np
import pandas as pd

ShivnarenSrinivasan